Project Metamorphosis: Unveiling the next-gen event streaming platformLearn More

Ressources

Kafka: The Definitive Guide v2

The long-awaited update to the immensely popular Kafka: The Definitive Guide. Confluent is happy to announce that we will be providing new early release chapters of Kafka: The Definitive Guide v2 every month until the completion of the new e-book in Summer 2021.

Kafka Summit San Francisco 2019

View the recordings and slides from Kafka Summit San Francisco, the premier event for those who want to learn about streaming data.

Conception de systèmes axés sur les événements

Learn how service-based architectures and stream processing tools such as Apache Kafka can help you build business-critical systems.
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Ebook

Kafka: The Definitive Guide v2

The long-awaited update to the immensely popular Kafka: The Definitive Guide. Confluent is happy to announce that we will be providing new early release chapters of Kafka: The Definitive Guide v2 every month until the completion of the new e-book in Summer 2021.

Discussion en ligne

First steps with Confluent Cloud and .NET

In this webinar, we take a hands-on approach to these questions and walk through setting up a simple application written in .NET to a Confluent Cloud based Kafka cluster. Along the way, we point out best practices for developing and deploying applications that scale easily.

White Paper

Confluent Cloud Security Controls

Confluent implements layered security controls designed to protect and secure Confluent Cloud customer data, incorporating multiple logical and physical security controls that include access management, least privilege, strong authentication, logging and monitoring, vulnerability management, and bug bounty programs.

Discussion en ligne

Mainframe Integration, Offloading and Replacement with Apache Kafka®

Replace the mainframe with new applications using modern and less costly technologies. Stand up to the dinosaur, but keep in mind that legacy migration is a journey. This session will guide you to the next step of your company’s evolution!

Ebook

Recognizing the Full Value of Event Streaming: Beyond Messaging to Meaning

This ENTERPRISE MANAGEMENT ASSOCIATES® (EMA™) eBook will show how, with fully managed cloud-based event streaming, executives, managers, and individual contributors gain access to real-time intelligence and the enterprise will achieve unprecedented momentum and material gain. At the core of the event-centric enterprise, event streaming platforms become the nervous system of business ecosystems.

Vidéo

De Monolithe Aux Microservices Un Chantier D'urbanism Kafkaïen - Franck Bodin, Expert Technique and Pierre-Johan Chartre, Architecte CGI

Comment Michelin a réussi à péréniser son infrastructure informatique pour les années à venir.

Vidéo

Un Systeme d'Information Fait Pour Durer - Thierry Fraudet, Michelin

Comment Michelin a réussi à péréniser son infrastructure informatique pour les années à venir.

Vidéo

The database is only half done

Databases represent some of the most successful software that has ever been written and their importance over the last fifty years is hard to overemphasize. Over this time, they have evolved to form a vast landscape of products that cater to different data types, volumes, velocities, and query characteristics. But the broad definition of what a database is has changed relatively little.

Vidéo

Kafka is Coming @Accor - Julien Ramakichenin and Mikaël Racaud, Accor

Découvrez comment Accor a révolutionné son infrastructure système autour du streaming événementiel avec Apache Kafka et Confluent.

Vidéo

Google Cloud and Confluent Streaming: Generating Real Value From Real Time (Eric Haddad, Google Cloud)

Décuplez la valeur du temps réel pour votre entreprise avec Google Cloud & Confluent.

Vidéo

Event Streaming: from Projects to Platform - Lyndon Hedderly, Confluent

Event streaming: from technology to a completely new business paradigm.

Vidéo

Digital Employee Experience with Kafka Streams - Jean-Claud Manoli and David Nemeshazy, Nexthink

Découvrez comment Nexthink a redynamisé l'engagement et l'expérience employés avec le streaming événementiel.

Vidéo

D'une Vision Client 24h à Une Vision Temps Réel - Luc Marchand and Damien Droisy, BNP Paribas

La nouvelle génération de gestion de système bancairen, vue au travers d'Apache Kafka & Confluent : découvrez l'expérience de BNP Paribas.

Vidéo

Architectures for Event Streaming (Nick Dearden, Confluent)

Event Streaming Paradigm: rethink data as not stored records or transient messages, but instead as a continually updating stream of events.

Vidéo

Apache Kafka: de L'idée à la Réalité - Antoine Michel, Fabernovel

Pourquoi l'utilisation d'Apache Kafka et du streaming événermentiel représente une révolution pour les entreprises.

Discussion en ligne

Spring Kafka Beyond the Basics: lessons Learned on our Kafka Journey at ING bank

You know the fundamentals of Apache Kafka. You are a Spring Boot developer and working with Apache Kafka. You have chosen Spring Kafka to integrate with Apache Kafka. You implemented your first producer, consumer, and maybe some Kafka streams, it's working... Hurray! You are ready to deploy to production what can possibly go wrong?

Discussion en ligne

Réagissez en temps réel avec le streaming d’événements et le connecteur Kafka MongoDB

De nombreuses entreprises collectent et stockent leurs données dans divers centres de données et utilisent de multiples applications et services commerciaux pour y accéder, les analyser et agir en conséquence. Gérer cette montagne de données, qui proviennent toutes de sources disparates est très difficile. Bien souvent, les méthodes employées sont inefficaces et produisent peu de résultats.

Discussion en ligne

Reacciona en tiempo real con el streaming de eventos y el conector Kafka & MongoDB

Nos encontramos ante el desafío de tomar decisiones utilizando datos distribuidos en entornos dispares y heterogéneos, lo que trae como consecuencia que sea muy complicado y complejo tomar acciones adecuadas. La extracción de datos de diferentes ambientes (nube, VPC y On-Premise) es difícil de manejar, ineficiente e ineficaz si se quiere producir resultados confiables y que posean valor para la organización.

Discussion en ligne

Life is a Stream of Events

Learn how NAV (Norwegian Work and Welfare Department) are using Apache Kafka to distribute and act upon events. NAV currently distributes more than one-third of the national budget to citizens in Norway or abroad. They are there to assist people through all phases of life within the domains of work, family, health, retirement, and social security. Events happening throughout a person’s life determines which services NAV provides to them, how they provide them, and when they offer them.

Discussion en ligne

Les bénéfices du Streaming de données: Cas d'usage autour d'Apache Kafka

Apache Kafka a été construit afin de devenir le système nerveux central qui met les données en temps réel à la disposition de toutes les applications qui en ont besoin, avec de nombreux cas d'usage comme la bourse et la détection des fraudes, le transport, l'intégration des données et l'analyse en temps réel.

Discussion en ligne

L'architecture d'Apache Kafka et ses principes fondamentaux expliqués

Apache Kafka a été construit afin de devenir le système nerveux central qui met les données en temps réel à la disposition de toutes les applications qui en ont besoin, avec de nombreux cas d'usage comme la bourse et la détection des fraudes, le transport, l'intégration des données et l'analyse en temps réel.

Discussion en ligne

Kitchen Series: IoT Sensor-Analysen mit Apache Kafka, KSQL und TensorFlow

Die schnell wachsende Welt der Datenstromverarbeitung kann entmutigend sein, da neue Konzepte wie verschiedene Arten von Zeitsemantiken, Aggregationen, Change Logs und Frameworks zu beherrschen sind. KSQL ist eine Open-Source, Apache 2.0 lizenzierte Streaming-SQL-Engine basierend auf Apache Kafka, die all dies vereinfacht und die Stream-Verarbeitung für jeden verfügbar macht, ohne dass Source Code geschrieben werden muss.

Discussion en ligne

Kitchen Series: Deep Dive Series #3: Schema Validation + Structured Audit Logs

Eine weitere neue sicherheitsrelevante Funktion in Confluent Platform 5.4 sind Structured Audit Logs. Jetzt ist natürlich alles in Kafka ein Log, aber Kafka protokolliert nicht, was Kafka mit Kafka macht - nur das, was in einen Topics geschrieben wird.

Discussion en ligne

Kafka for Marketing campaigns: power up your business decisions in near-real-time

In the world of online streaming providers, real-time events are becoming the new standard, driving innovation and a new set of use cases to react to a quickly changing market. We explain how, from simple media player heartbeats, Data Reply fueled a diverse set of near-real-time use cases and services for his customer, from blocking concurrent media streams, to recognizing ended sessions and trending content.

Discussion en ligne

Intégrer Apache Kafka dans votre environnement

Apache Kafka a été construit afin de devenir le système nerveux central qui met les données en temps réel à la disposition de toutes les applications qui en ont besoin, avec de nombreux cas d'usage comme la bourse et la détection des fraudes, le transport, l'intégration des données et l'analyse en temps réel

Discussion en ligne

How to Unlock your Mainframe Data

Large enterprises, government agencies, and many other organisations rely on mainframe computers to deliver the core systems managing some of their most valuable and sensitive data. However, the processes and cultures around a mainframe often prevent the adoption of the agile, born-on-the web practices that have become essential to developing cutting edge internal and customer-facing applications.

Discussion en ligne

How to Build a Bridge to the Cloud

A company's journey to the cloud often starts with the discovery of a new use case or need for a new application. Deploying Confluent Cloud, a fully managed cloud-native streaming service based on Apache Kafka, enables organisations to revolutionise the way they build streaming applications and real-time data pipelines.

Vidéo

Event-Streaming in Echtzeit: Der MongoDB-Kafka-Connector in Action!

In unserem digitalen Zeitalter von Big Data und IoT, in dem täglich mehrere Trillionen Byte an Daten produziert werden, ist es für Unternehmen von ganz erheblicher Bedeutung, die richtigen Daten, zur richtigen Zeit bereit zu haben – egal in welcher Applikation und unabhängig davon, ob in der Cloud oder on-premise.

Discussion en ligne

Event streaming con Confluent & MongoDB

Oggi, molto spesso, i dati aziendali risiedono su diverse applicazioni, con logiche di rappresentazione e di gestione degli stessi dati, troppo eterogenee. Laddove si richiede il consumo di questi dati sparsi, per un uso centralizzato, il processo di estrazione da fonti cosí disparate, diventa difficile da gestire ed estremamente inefficiente.

Discussion en ligne

Descubra las mejores prácticas en streaming de datos

¿Adminstras un cluster de Kafka? ¿Dominas las funcionalidades básicas pero quieres ir más allá en el streaming de tu datos? En este webinar para usuarios avanzados de Kafka, discutiremos las posibilidades de procesamiento ofrecidas por Kafka Streams & ksqlDB a través de ejemplos y casos de uso así como las mejores prácticas a implementar cuando nos involucramos en un proyecto o iniciativa con estas tecnologías.

Discussion en ligne

Comment fonctionne Apache Kafka

Apache Kafka a été construit afin de devenir le système nerveux central qui met les données en temps réel à la disposition de toutes les applications qui en ont besoin, avec de nombreux cas d'usage comme la bourse et la détection des fraudes, le transport, l'intégration des données et l'analyse en temps réel.

Discussion en ligne

APIs, microservicios y streaming en el corazón de las plataformas de intercambio híbridas.

Aproveche el potencial de sus datos acoplando soluciones de gestión avanzada de APIs con una arquitectura de eventos Kafka. Abrir acceso a los datos adecuados en tiempo real, desde cualquier lugar y en el momento exacto en que se necesiten, se ha convertido en un gran reto para los CIOs en la digitalización de las interconexiónes.

Discussion en ligne

API, microservizi e streaming nel cuore delle piattaforme di integrazione ibride

Massimizzare il potenziale dei dati accoppiando le soluzioni di API management con un'architettura di eventi Kafka e permettere l'accesso ai dati corretti in tempo reale, da qualsiasi luogo e nel momento esatto in cui è necessario, sono diventate una grande sfida per i CIO all'interno della loro trasformazione digitale.

Discussion en ligne

Apache Kafka: Advice from the trenches or how to successfully fail!

Operating a complex distributed system such as Apache Kafka could be a lot of work, so many moving parts need to be understood when something wrong happens. With brokers, partitions, leaders, consumers, producers, offsets, consumer groups, etc, and security, managing Apache Kafka can be challenging.

Report

2018 Apache Kafka Report

Apache Kafka® ist eine Streaming-Plattform, die entscheidende Geschäftsereignisse aus jeglichen Bereichen eines Unternehmens zu einer Art zentralem Nervensystem vereint, das sämtliche relevanten Aktivitäten in Form von Event-Datenströmen zusammenfasst.

Discussion en ligne

Kitchen Series: Deep Dive Series #2: Multi Region Clusters

Im zweiten Teil der Deep Dive Sessions besprechen wir den Aufbau eines logischen Clusters über mehrere Regionen, der alle Ihre HA SLAs (Bronce, Silver, Gold) abdeckt. Außerdem behandeln wir das große Potenzial zum Hochladen aller Ihrer Anwendungsfälle in einem Multi-Tenant-Cluster Ihrer Organisation.

Discussion en ligne

Kafka and Big Data Streaming Use Cases in the Gaming Industry

Learn how Apache Kafka and Confluent help the gaming industry leverage real-time integration, event streaming, and data analytics for seamless gaming experiences at scale.

Discussion en ligne

Building a Secure, Tamper-Proof & Scalable Blockchain on Top of Apache Kafka - Introduction to AiB's KafkaBlockchain

Apache Kafka is an open source event streaming platform. It is often used to complement or even replace existing middleware to integrate applications and build microservice architectures. Apache Kafka is already used in various projects in almost every bigger company today. Understood, battled-tested, highly scalable, reliable, real-time. Blockchain is a different story. This technology is a lot in the news, especially related to cryptocurrencies like Bitcoin. But what is the added value for software architectures? Is blockchain just hype and adds complexity? Or will it be used by everybody in the future, like a web browser or mobile app today? And how is it related to an integration architecture and event streaming platform? This session explores use cases for blockchains and discusses different alternatives such as Hyperledger, Ethereum and a Kafka-native tamper-proof blockchain implementation. Different architectures are discussed to understand when blockchain really adds value and how it can be combined with the Apache Kafka ecosystem to integrate blockchain with the rest of the enterprise architecture to build a highly scalable and reliable event streaming infrastructure. Speakers: Kai Waehner, Technology Evangelist, Confluent Stephen Reed, CTO, Co-Founder, AiB

Discussion en ligne

ksqlDB in Confluent Cloud: Datenanalyse in Echtzeit

ksqlDB ermöglicht es, Event-Streaming-Anwendungen genau so leicht und mit bekannten Mitteln zu erstellen, wie herkömmliche Anwendungen auf einer relationalen Datenbank. Kombiniert man dies mit Confluent Cloud, ergeben sich viele neue spannende Möglichkeiten. Am Beispiel eines realen Use Cases wird Live im Webinar eine Umgebung geschaffen, die ein Real-Time Event Streaming Cluster aufbaut. Events werden in Echtzeit verarbeitet und analysiert. Zur Analyse der Events werden wir eine sql-ähnliche Sprache verwenden. Hierfür nutzen wir ksqlDB. Dieser Use Case soll aufzeigen, wie einfach es ist, reale und performante Umgebungen in der Confluent Cloud in kurzer Zeit zur Verfügung zu stellen und Analysen sofort zu starten. Sprecher: Carsten Mützlitz, Solution Engineer, Confluent

Discussion en ligne

Building Value - Understanding the TCO and ROI of Apache Kafka & Confluent

In this presentation, Lyndon Hedderly, Team Lead of Business Value Consulting at Confluent, will cover how Confluent works with customers to measure the business value of data streaming.

Discussion en ligne

Using a combination of Confluent Cloud and Kafka tooling on your laptop for solution prototyping and development

Developing a streaming solution working against a self-managed Kafka cluster, can be awkward and time consuming, largely due to security requirements and configuration red-tape. It's beneficial to use Confluent Cloud in the early stages to get quick progress. Creating the cluster in Confluent Cloud is super easy and allows you to concentrate on defining your Connect sources and sinks as well as fleshing out the streaming topology on your laptop. It also shows the client how easy it is to swap out the self-managed Kafka cluster with Confluent Cloud.

Discussion en ligne

Streamsheets and Apache Kafka – Interactively build real-time Dashboards and Streaming Apps just using your Spreadsheet Skills

Without any coding or scripting, end-users leverage their existing spreadsheet skills to build customized streaming apps for analysis, dashboarding, condition monitoring or any kind of real-time pre-and post-processing of Kafka or KsqlDB streams and tables.

Discussion en ligne

Real-Time Data Streaming with Kafka and Confluent in the Telecom Industry

Join Kai Waehner, Technology Evangelist at Confluent, for this session which explores various telecommunications use cases, including data integration, infrastructure monitoring, data distribution, data processing and business applications. Different architectures and components from the Kafka ecosystem are also discussed.

Discussion en ligne

Confluent Cloud für Einsteiger: Elastizität & Skalierbarkeit für Apache Kafka

Die Anpassung an die Echtzeit-Anforderungen unternehmenskritischen Anwendungen ist nur mit einer Architektur möglich, die sich elastisch skalieren lässt. Confluent hat Apache Kafka zu einer elastisch skalierbaren Event-Streaming-Plattform erweitert, die Echtzeitdaten verarbeitet, wo immer sie sich befinden. Damit wird Event-Streaming für jedes Budget und jeden Anwendungsfall zugänglich.

Discussion en ligne

Swiss Mobiliar: How Apache Kafka helps to create Data Culture

In this webinar we want to share our experience on how the Swiss Mobiliar, the biggest Swiss household insurance enterprise, introduced Kafka and led it to enterprise-wide adoption with the help of AGOORA.com.

Discussion en ligne

Event Driven Machine Learning avec Publicis Sapient

Le serving de modèle de Machine Learning pour la prédiction en temps réel présente des défis tant en Data Engineering qu'en Data Science. Comment construire un pipeline moderne qui permet de réaliser des prédictions en continu ? Dans le cas d'un exercice supervisé, comment allier tracing et tracking des performances ? Comment récupérer un feedback pour déclencher un réentraînement réactif ? Dans ce talk nous vous proposons de dresser, ensemble, une proposition concrète de pipeline, qui prend en compte les phases d'exploration et de monitoring dans un contexte temps réel. Les ingrédients : un event log, une plateforme notebook et d'autres surprises nous venant tout droit du Cloud.

Discussion en ligne

Confluent Platform 5.5 – Alle Neuerungen im Überblick

Mit Confluent Platform 5.5 machen wir es Entwicklern noch einfacher, Zugang zu Kafka zu finden und mit der Erstellung von Event-Streaming-Anwendungen zu beginnen, unabhängig von der bevorzugten Programmiersprache oder den zugrunde liegenden Datenformaten, die in ihren Anwendungen verwendet werden.

Discussion en ligne

Kafka im Einzelhandel: AR+ML+Kafka+Microservice

Einzelhändler können ab sofort die Kaufabsicht der Kunden vorhersehen, als Reaktion auf einen Verkauf sofort den Bestand nachbestellen und neue Geschäfte in einem Bruchteil der Zeit integrieren. Und das ist nur die Spitze des Eisbergs...in diesem Vortrag wird Carsten einige Ideen rund um die Apache Kafka Streaming-Plattform im Einzelhandel vorstellen und einige davon auch live zeigen.

Discussion en ligne

Apache Kafka and Machine Learning in the Finance Industry

Join this Online Talk, to understand how and why Apache Kafka has become the de-facto standard for reliable and scalable streaming infrastructures in the finance industry.

White Paper

Reference Architecture: Confluent and Snowflake

This document provides an overview of Confluent and Snowflake’s integration, a detailed tutorial for getting started with the integration, and unique considerations to keep in mind when working with these two technologies.

White Paper

Measuring the Cost Effectiveness of Confluent Cloud

TCO is the total cost of ownership, calculating out purchase price plus costs to operate. A comprehensive TCO assessment should factor in time, manpower, and other costs across an entire organization over time. Open source vs SaaS is a common topic, with open source software claiming to be "free," and vendors making claims around their software reducing TCO, or improving ROI. But how do you measure these claims? What are the assumptions? How robust are the estimates? This white paper provides answers to these questions for Confluent Cloud by outlining the model we use, our approach, and a customer example, sharing lessons learned along the way.

White Paper

Event-Streaming wird zum Herzstück jeder IT

Dieses COMPUTERWOCHE-Whitepaper stellt Streaming-Plattformen vor, zeigt deren Business-Nutzen und präsentiert eine Reihe von Anwendungen.

Discussion en ligne

Elastically Scaling Kafka Using Confluent

Adjusting to the real-time needs of your mission-critical apps is only possible with an architecture that scales elastically. Confluent re-engineered Apache Kafka into an elastically scalable, next-gen event streaming platform that processes real-time data wherever it lives - making it accessible for any budget or use case.

Discussion en ligne

Simplified Hybrid Cloud Migration with Confluent and Google Cloud

Join Unity, Confluent and GCP to learn how to reduce risk and increase business options with a hybrid cloud strategy.

Discussion en ligne

Stand up to the Dinosaur: Mainframe Integration, Offloading and Replacement with Apache Kafka

Mainframe offloading with Apache Kafka and its ecosystem can be used to keep a more modern data store in real-time sync with the mainframe. At the same time, it is persisting the event data on the bus to enable microservices, and deliver the data to other systems such as data warehouses and search indexes.

White Paper

Benchmark Your Dedicated Apache Kafka® Cluster on Confluent Cloud

This white paper reports the results of benchmarks we ran on a 2-CKU multi-zone dedicated cluster and shows the ability of a CKU to deliver the stated client bandwidth on AWS, GCP, and Azure clouds.

Discussion en ligne

Data Streaming with Apache Kafka & MongoDB

Explore the use cases and architecture for Apache Kafka®, and how it integrates with MongoDB to build sophisticated data-driven applications that exploit new sources of data.

Discussion en ligne

Streaming Data Ingest and Processing with Kafka

Experts from Confluent and Attunity share how you can: realize the value of streaming data ingest with Apache Kafka®, turn databases into live feeds for streaming ingest and processing, accelerate data delivery to enable real-time analytics and reduce skill and training requirements for data ingest.

Discussion en ligne

Microservices in the Apache Kafka® Ecosystem

Get answers to: How you would use Apache Kafka® in a micro-service application? How do you build services over a distributed log and leverage the fault tolerance and scalability that comes with it?

Discussion en ligne

Introduction to Stream Processing with Apache Kafka®

Get an introduction to Apache Kafka® and how it serves as a foundation for streaming data pipelines and applications that consume/process real-time data streams. Part 1 in the Apache Kafka: Online Talk Series.

Discussion en ligne

Deep Dive into Apache Kafka®

In this talk by Jun Rao, co-creator of Apache Kafka®, get a deep dive on some of the key internals that makes Apache Kafka popular, including how it delivers reliability and compaction. Part 2 in the Apache Kafka: Online Talk Series.

Discussion en ligne

Streaming Data Integration with Apache Kafka®

Learn different options for integrating systems and applications with Apache Kafka® and best practices for building large-scale data pipelines using Apache Kafka. Part 3 in the Apache Kafka: Online Talk Series.

Discussion en ligne

Real-time Data Streaming from Oracle to Apache Kafka

Learn typical use cases for Apache Kafka®, how you can get real-time data streaming from Oracle databases to move transactional data to Kafka and enable continuous movement of your data to provide access to real-time analytics.

Discussion en ligne

Demystifying Stream Processing with Apache Kafka®

Learn how to map practical data problems to stream processing and write applications that process streams of data at scale using Kafka Streams. Part 4 in the Apache Kafka: Online Talk Series.

Discussion en ligne

A Practical Guide to Selecting a Stream Processing Technology

In this talk, we survey the stream processing landscape, the dimensions along which to evaluate stream processing technologies, and how they integrate with Apache Kafka®. Part 5 in the Apache Kafka: Online Talk Series.

Discussion en ligne

Streaming in Practice: Putting Apache Kafka® in Production

This talk focuses on how to integrate all the components of the Apache Kafka® ecosystem into an enterprise environment and what you need to consider as you move into production. Part 6 of the Apache Kafka: Online Talk Series.

Discussion en ligne

The Data Dichotomy: Rethinking the Way We Treat Data and Services

This talk will examine the underlying dichotomy we all face as we piece such systems together--one that is not well served today. The solution lies in blending the old with the new and Apache Kafka® plays a central role. Part 1 in the Apache Kafka for Microservices: A Confluent Online Talk Series.

Discussion en ligne

Building Event-Driven Services with Apache Kafka®

This practical talk will dig into how we piece services together in event driven systems, how we use a distributed log to create a central, persistent narrative and what benefits we reap from doing so. Part 2 in the Apache Kafka® for Microservices: A Confluent Online Talk Series.

Discussion en ligne

Putting the Micro into Microservices with Stateful Stream Processing

This talk will look at how Stateful Stream Processing is used to build truly autonomous services. With the distributed guarantees of Exactly Once Processing, Event-Driven Services supported by Apache Kafka®. Part 3 in the Apache Kafka for Microservices: A Confluent Online Talk Series.

Discussion en ligne

Introduction to Confluent Cloud: Apache Kafka® as a Service

Join us as we walk through an overview of this exciting new service from the experts in Kafka. Learn how to build robust, portable and lock-in free streaming applications using Confluent Cloud.

Discussion en ligne

ETL is Dead, Long Live Streams!

Neha Narkhede talks about the experience at LinkedIn moving from batch-oriented ETL to real-time streams using Apache Kafka and how the design and implementation of Kafka was driven by this goal of acting as a real-time platform for event data.

Discussion en ligne

Introducing Exactly Once Semantics in Apache Kafka®

Learn about the recent additions to Apache Kafka® to achieve exactly-once semantics (EoS) including support for idempotence and transactions in the Kafka clients.

Discussion en ligne

Building Microservice Architectures Q&A Panel

Microservices guru Sam Newman, Buoyant CTO Oliver Gould and Apache Kafka® engineer Ben Stopford are joined by Jay Kreps, co-founder and CEO, Confluent for a Q&A session where they discuss and debate all things Microservices.

Discussion en ligne

Microservices and the Future of Data

Join the discussion on the relationship between microservices and stream processing with Data-Intensive Apps author Martin Kleppmann, Confluent engineers Damian Guy and Ben Stopford, chaired by Jay Kreps, co-founder and CEO, Confluent.

Discussion en ligne

KSQL: Streaming SQL for Apache Kafka®

Learn about the KSQL architecture and how to design and deploy interactive, continuous queries for streaming ETL and real-time analytics.

Discussion en ligne

Deploying Confluent Platform in Production

In this talk, Gwen Shapira describes the reference architecture of Confluent Enterprise, which is the most complete platform to build enterprise-scale streaming pipelines using Apache Kafka®. Part 1 in the Best Practices for Apache Kafka in Production Series.

Discussion en ligne

Reliability Guarantees in Apache Kafka®

In this session, we go over everything that happens to a message – from producer to consumer, and pinpoint all the places where data can be lost. Build a bulletproof data pipeline with Apache Kafka. Part 2 in the Best Practices for Apache Kafka in Production Series.

Discussion en ligne

Common Patterns of Multi-Datacenter Architectures with Apache Kafka®

In this session, we discuss the basic patterns of multi-datacenter Apache Kafka® architectures, explore some of the use cases enabled by each architecture and show how Confluent Enterprise products make these patterns easy to implement. Part 3 in the Best Practices for Apache Kafka in Production Series.

Discussion en ligne

Disaster Recovery Plans for Apache Kafka®

In this session, we discuss disaster scenarios that can take down entire Apache Kafka® clusters and share advice on how to plan, prepare and handle these events. Part 4 in the Best Practices for Apache Kafka in Production Series.

Discussion en ligne

Monitoring Apache Kafka® and Streaming Applications

In this presentation, we discuss best practices of monitoring Apache Kafka®. Part 5 of the Best Practices for Apache Kafka in Production series.

Discussion en ligne

Exploring KSQL Patterns

Tim Berglund covers the patterns and techniques of using KSQL. Part 1 of the Empowering Streams through KSQL series.

Discussion en ligne

Live Coding a KSQL Application

Join us as we build a complete streaming application with KSQL. There will be plenty of hands-on action, plus a description of our thought process and design choices along the way. Part 2 in the Empowering Streams through KSQL series.

Discussion en ligne

Deploying and Operating KSQL

In this session, Nick Dearden covers the planning and operation of your KSQL deployment, including under-the-hood architectural details. Part 3 out of 3 in the Empowering Streams through KSQL series.

Discussion en ligne

Apache Kafka® et le traitement de flux chez Pinterest

In this talk, members of the Pinterest team offer lessons learned from their Confluent Go client migration and discuss their use cases for adopting Kafka Streams.

Discussion en ligne

Von LinkedIn lernen: Daten-Streaming mit Apache Kafka®

Dank Apache Kafka® können Unternehmen Echtzeitdaten optimal nutzen. Im Webinar erfahrt ihr mehr über Daten-Streaming und wie es Entwicklungskosten reduzieren kann.

Discussion en ligne

Streaming von Mainframe- , SAP-, Oracle-, SQL- und alle anderen wichtigen Daten an Apache Kafka®

Im gemeinsamen Online Talk von Confluent und Attunity zeigen wir, wie die Bereitstellung von Daten beschleunigt werden kann, um Echtzeitanalysen mit Live-Daten aus vielen Quellen zu ermöglichen.

Discussion en ligne

Diffusez vos données Mainframe, SAP, DB2, Oracle, SQL les plus précieuses vers Apache Kafka®

Dans ce wébinaire présenté par Confluent et Attunity, découvrez comment le streaming de données peut être accéléré afin de permettre des analyses en temps réel avec des données en direct provenant de nombreuses sources.

Discussion en ligne

Top 10 FAQs for KSQL, Streaming SQL for Apache Kafka®

In this interactive discussion, the KSQL team will answer 10 of the toughest, most frequently asked questions about KSQL.

Discussion en ligne

Online Serie Teil 1: Apache Kafka® und Confluent im Überblick

In diesem Online Talk zeigen wir gibt eine kurze Einführung in Apache Kafka und die Verwendung als Daten-Streaming-Plattform.

Discussion en ligne

Apache Kafka® Delivers Single Source of Truth for The New York Times

Join The New York Times' Director of Engineering Boerge Svingen to learn how the innovative news giant of America transformed the way it sources content while still maintaining searchability, accuracy and accessibility—all through the power of a real-time streaming platform.

Discussion en ligne

Partie I: Découvrir la plateforme Confluent et KSQL

Joignez-vous à notre série de conférences en ligne en deux parties, accélérez les flux via KSQL pour plonger au coeur de cet outil. Nos experts vous expliqueront l’architecture du moteur KSQL et montreront comment concevoir et déployer des requêtes interactives et continues.

Discussion en ligne

Partie II: Développement en direct d’un microservice avec KSQL

Joignez-vous à notre série de conférences en ligne en deux parties, accélérez les flux via KSQL pour plonger au coeur de cet outil. Nos experts vous expliqueront l’architecture du moteur KSQL et montreront comment concevoir et déployer des requêtes interactives et continues.

Discussion en ligne

The Future of ETL Isn't What It Used to Be

Gwen Shapira presents core patterns of modern data engineering and explains how you can use microservices, event streams and a streaming platform like Apache Kafka to build scalable and reliable data pipelines. Part 1 of 3 in Streaming ETL - The New Data Integration series.

Discussion en ligne

Running Apache Kafka® on Kubernetes

In this online talk, Joe Beda, CTO of Heptio and co-creator of Kubernetes, and Gwen Shapira, principal data architect at Confluent and Kafka PMC member, will help you navigate through the hype, address frequently asked questions and deliver critical information to help you decide if running Kafka on Kubernetes is the right approach for your organization.

Discussion en ligne

Capital One Delivers Risk Insights in Real Time with Stream Processing

Capital One supports interactions with real-time streaming transactional data using Apache Kafka®. Join us for this online talk on lessons learned, best practices and technical patterns of Capital One’s deployment of Apache Kafka.

Discussion en ligne

Intelligent Real-Time Decisions with VoltDB and Apache Kafka®

Join experts from VoltDB and Confluent to see why and how enterprises are using Apache Kafka as the central nervous system in combination with VoltDB.

Discussion en ligne

Building a Streaming ETL Pipeline with Apache Kafka® and KSQL

In this talk, we'll build a streaming data pipeline using nothing but our bare hands, the Kafka Connect API and KSQL.

Discussion en ligne

Streaming Transformations - Putting the T in Streaming ETL

We’ll discuss how to leverage some of the more advanced transformation capabilities available in both KSQL and Kafka Connect. Part 3 of 3 in Streaming ETL - The New Data Integration online talk series.

Discussion en ligne

The State of Stream Processing

The ‘current state of stream processing’ walks through the origins of stream processing, applicable use cases and then dives into the challenges currently facing the world of stream processing as it drives the next data revolution.

Discussion en ligne

Leveraging Microservice Architectures & Event-Driven Systems for Global APIs

In this talk we will look at what event driven systems are; how they provide a unique contract for services to communicate and share data and how stream processing tools can be used to simplify the interaction between different services.

Discussion en ligne

Event Streaming Platforms

Watch Lyndon Hedderly's keynote from Big Data Analytics London 2018.

Discussion en ligne

Unleashing Apache Kafka and TensorFlow in the Cloud

In this online talk, Technology Evangelist Kai Waehner will discuss and demo how you can leverage technologies such as TensorFlow with your Kafka deployments to build a scalable, mission-critical machine learning infrastructure for ingesting, preprocessing, training, deploying and monitoring analytic models.

Discussion en ligne

Unlock the Power of Streaming Data with Kinetica and Confluent Platform

See how Kinetica enables businesses to leverage the streaming data delivered with Confluent Platform to gain actionable insights.

Discussion en ligne

Apache Kafka: Past, Present and Future

Confluent Co-founder Jun Rao discusses how Apache Kafka® became the predominant publish/subscribe messaging system that it is today, Kafka's most recent additions to its enterprise-level set of features and how to evolve your Kafka implementation into a complete real-time streaming data platform.

Discussion en ligne

Aligning Data Governance Initiatives with Business Objectives

There’s a prevailing enterprise perception that compliance with data protection regulations and standards is a burden: limiting the leverage of data.

Discussion en ligne

New Approaches for Fraud Detection on Apache Kafka and KSQL

Modern streaming data technologies like Apache Kafka® and Confluent KSQL, the streaming SQL engine for Apache Kafka, can help companies catch and detect fraud in real time instead of after the fact.

Discussion en ligne

How Leading Companies Are Adopting Streaming Strategies

With the evolution of data-driven strategies, event-based business models are influential in innovative organizations.

Discussion en ligne

The Digital Transformation Mindset – More Than Just Technology

What was once a ‘batch’ mindset is quickly being replaced with stream processing as the demands of the business impose real-time requirements on technology leaders.

Discussion en ligne

Modernizing Your Application Architecture with Microservices

Learn from field experts as they discuss how to convert the data locked in traditional databases into event streams using HVR and Apache Kafka®.

Discussion en ligne

Financial Event Sourcing at Enterprise Scale

Rabobank rose to this challenge and defined the Business Event Bus (BEB) as the place where business events from across the organization are shared between applications.

Discussion en ligne

Achieve Sub-Second Analytics on Apache Kafka with Confluent and Imply

In this online talk, you’ll hear about ingesting your Kafka streams into Imply’s scalable analytic engine and gaining real-time insights via a modern user interface.

Discussion en ligne

Bridge to Cloud: Using Apache Kafka to Migrate to AWS

In this session, we will share how companies around the world are using Confluent Cloud, a fully managed Apache Kafka® service, to migrate to AWS.

Discussion en ligne

First Steps with Apache Kafka on Google Cloud Platform

In this chat, we'll demo how to implement real-time clickstream analytics on Confluent Cloud, fully managed Apache Kafka as a service.

Discussion en ligne

Real-Time Data Streaming in the Insurance Industry

Learn how Generali Switzerland set up an event-driven architecture to support their digital transformation project.

Discussion en ligne

Driving Business Transformation with Real-Time Analytics

This talk will cover how to integrate real-time analytics and visualizations to drive business processes and how KSQL, streaming SQL for Kafka, can easily transform and filter streams of data in real time.

Discussion en ligne

ATM Fraud Detection with Apache Kafka and KSQL

Detecting fraudulent activity in real time can save a business significant amounts of money, but has traditionally been an area requiring a lot of complex programming and frameworks, particularly at scale.

Discussion en ligne

Using Apache Kafka to Optimize Real-Time Analytics in Financial Services

This online talk includes in depth practical demonstrations of how Confluent and Panopticon together support several key financial services and IoT applications, including transaction cost analysis and risk monitoring.

Discussion en ligne

Bridge to Cloud: Using Apache Kafka to Migrate to GCP

In this session, we will share how companies around the world are using Confluent Cloud, a fully managed Apache Kafka® service, to migrate to GCP.

Discussion en ligne

Express Scripts: Driving Digital Transformation from Mainframe to Microservices

This online talk will showcase how Apache Kafka® plays a key role within Express Scripts’ transformation from mainframe to a microservices-based ecosystem, ensuring data integrity between two worlds.

Discussion en ligne

Integrating Databases into Apache Kafka®

This talk looks at one of the most common integration requirements – connecting databases to Apache Kafka.

Discussion en ligne

Introduction to KSQL & Kafka Streams Processing with Ticketmaster

In this all too fabulous talk, we will be addressing the wonderful and new wonders of KSQL vs. KStreams and how Ticketmaster uses KSQL and KStreams in production to reduce development friction in machine learning products.

Discussion en ligne

Introducing Events and Stream Processing into Nationwide Building Society

In this online talk, you will learn why, when facing Open Banking regulation and rapidly increasing transaction volumes, Nationwide decided to take load off their back-end systems through real-time streaming of data changes into Apache Kafka®.

Discussion en ligne

GCP pour les utilisateurs d'Apache Kafka® : ingestion et traitement des flux

In this session, we'll compare the two approaches to data integration and show how Dataflow allows you to join and transform and deliver data streams among on-prem and cloud Apache Kafka clusters, Cloud Pub/Sub topics and a variety of databases.

Discussion en ligne

Introduction to KSQL: Streaming SQL for Apache Kafka®

Confluent KSQL is the streaming SQL engine that enables real-time data processing against Apache Kafka®. It provides an easy-to-use, yet powerful interactive SQL interface for stream processing on Kafka.

Discussion en ligne

Wie Apache Kafka die Datenwelt revolutionier

In diesem Webinar zeigen wir, wie Audi mithilfe von Kafka und Confluent eine Fast Data IoT-Plattform umgesetzt hat, die den Bereich "Connected Car“ revolutioniert.

Discussion en ligne

Wie aus alten Silos agile Container werden: Der Betrieb von Apache Kafka® auf Kubernetes

Erfahren Sie in diesem Online Talk von unserem Kafka-Experten wie leicht man Apache Kafka und Confluent Platform auf Kubernetes.

Discussion en ligne

Building Event-Driven Applications with Apache Kafka® & Confluent Platform

In this session, we will cover the easiest ways to start developing event-driven applications with Apache Kafka using Confluent Platform.

Discussion en ligne

Modern Cloud-Native Streaming Platforms

This talk explores the benefits around cloud-native platforms and running Apache Kafka on Kubernetes, what kinds of workloads are best suited for this combination, and best practices.

Discussion en ligne

Connecter Apache Kafka® à Cash

Real-time data has value. But how do you quantify that value. This talk explores why valuing Kafka is important - but covers some of the problems in quantifying the value of a data infrastructure platform.

Discussion en ligne

Architecturer des applications de microservices avec l'analyse instantanée

This online talk explores how Apache Druid and Apache Kafka® can turn a microservices ecosystem into a distributed real-time application with instant analytics.

Discussion en ligne

How to Fail at Apache Kafka®

This online talk is based on real-world experience of Kafka deployments and explores a collection of common mistakes that are made when running Kafka in production and some best practices to avoid them.

Discussion en ligne

Intégration de bout en bout depuis le système IoT Edge vers Confluent Cloud

This interactive whiteboard presentation discusses use cases leveraging the Apache Kafka® open source ecosystem as an event streaming platform to process IoT data.

Discussion en ligne

De zéro à héros avec Kafka Connect

This talk discusses the key design concepts within Apache Kafka Connect and the pros and cons of standalone vs distributed deployment modes.

Discussion en ligne

Kafka’s Rebalance Protocol

This talk provides a deep dive into the details of the rebalance protocol, starting from its original design in version 0.9 up to the latest improvements and future work.

Discussion en ligne

Sommer, Sonne, Updates: Was ist neu in Confluent Platform 5.3?

Confluent Platform 5.3 ist GA und wir freuen uns über viele neue Funktionen. Wir sprechen unter anderem über den Confluent Operator (also Kafka auf Kubernetes), Ansible Playbooks und die neue UI des Confluent Control Centers.

Discussion en ligne

SIEM Modernization: Build a Situationally Aware Organization with Apache Kafka®

This session shows how various sub-systems in Apache Kafka can be used to aggregate, integrate and attribute these signals into signatures of interest.

Discussion en ligne

Why Build an Apache Kafka® Connector

This online talk focuses on the key business drivers behind connecting to Kafka and introduces the new Confluent Verified Integrations Program. Part 1 of 2 in Building Kafka Connectors - The Why and How

Discussion en ligne

How to Build an Apache Kafka® Connector

This online talk dives into the new Verified Integrations Program and the integration requirements, the Connect API and sources and sinks that use Kafka Connect. Part 2 of 2 in Building Kafka Connectors - The Why and How

Discussion en ligne

Apache Kafka® + Machine Learning for Supply Chain

This talk showcases different use cases in automation and Industrial IoT (IIoT) where an event streaming platform adds business value.

Discussion en ligne

Building an Enterprise Eventing Framework

Learn how Centene improved their ability to interact and engage with healthcare providers in real time with MongoDB and Confluent Platform.

Discussion en ligne

Impulsando la transformación del negocio con Confluent Platform y Apache Kafka

En este webinar en castellano describiremos porqué y para qué existe Apache Kafka. Veremos algunos de los usos más habituales, y analizaremos los tres componentes básicos la plataforma.

Discussion en ligne

Benefits of Stream Processing and Apache Kafka Use Cases

This talk explains how companies are using event-driven architecture to transform their business and how Apache Kafka serves as the foundation for streaming data applications. Part 1 of 4 in our Fundamentals for Apache Kafka series

Discussion en ligne

Apache Kafka® Architecture & Fundamentals Explained

This session explains Apache Kafka’s internal design and architecture. Companies like LinkedIn are now sending more than 1 trillion messages per day to Apache Kafka. Part 2 of 4 in our Fundamentals for Apache Kafka series.

Discussion en ligne

Kafka, aber sicher: Security-Komponenten in Confluent Platform

In diesem Webinar stellen wir die neuen Security-Komponenten (Role Based Access Control -RBAC und Secret Protection) von Confluent Platform live vor und gehen auch auf die Best Practices in diesem Umfeld ein.

Discussion en ligne

How Apache Kafka® Works

Pick up best practices for developing applications that use Apache Kafka, beginning with a high level code overview for a basic producer and consumer.

Discussion en ligne

Integrating Apache Kafka® Into Your Environment

This session will show you how to get streams of data into and out of Kafka with Kafka Connect and REST Proxy, maintain data formats and ensure compatibility with Schema Registry and Avro, and build real-time stream processing applications with Confluent KSQL and Kafka Streams.

Discussion en ligne

Design and Implementation of Incremental Cooperative Rebalancing

In this technical deep dive, we’ll discuss the proposition of Incremental Cooperative Rebalancing as a way to alleviate stop-the-world and optimize rebalancing in Kafka APIs.

Discussion en ligne

Best Practices for Streaming IoT Data with MQTT and Apache Kafka®

In this session, we will identify and demo some best practices for implementing a large scale IoT system that can stream MQTT messages to Apache Kafka.

Discussion en ligne

Enabling event streaming at AO.com

Learn how AO.com are enabling real-time event-driven applications to improve customer experience using Confluent Platform.

Discussion en ligne

On Track with Apache Kafka: Building a Streaming ETL Solution with Rail Data

This talk takes an in-depth look at how Apache Kafka® can be used to provide a common platform on which to build data infrastructure driving both real-time analytics as well as event-driven applications.

Discussion en ligne

Operaciones en Apache Kafka

En este seminario vamos a repasar las mejores prácticas para mantener vuestro Apache Kafka cluster saludable, revisaremos las situaciones más comunes que desembocan en problemas tales como tópicos inaccesibles o un cluster inestable.

Discussion en ligne

Creare applicazioni “streaming” con Confluent Platform, Kafka e KSQL

In questo webinar approfondiremo KSQL con degli esempi in modalitá "live coding" e vedremo in pratica quanto è semplice creare e rilasciare in produzione applicazioni streaming.

Discussion en ligne

What's New in Confluent Platform 5.4

Join the Confluent Product team as we provide a technical overview of Confluent Platform 5.4, which delivers groundbreaking enhancements in the areas of security, disaster recovery and scalability.

Discussion en ligne

Confluent Platform 5.4 – ¿Qué hay de nuevo?

En este webinar, descubre las nuevas características de la versión 5.4 de la plataforma Confluent así como sus aplicaciones y casos de uso reales.

Discussion en ligne

Bosch Power Tools Enables Real-time Analytics on IoT Event Streams

In this online talk, Bosch’s Ralph Debusmann outlines their architectural vision for bringing many data streams into a single platform, surrounded by databases that can power complex real-time analytics.

Discussion en ligne

Streaming Data to Apache Kafka® for Real-time Decisions

During this online talk, presenters from Confluent and Qlik will demonstrate how to accelerate data delivery to enable real-time analytics, make data more valuable with real-time data ingestion to Kafka, modernize data centers by streaming data in real-time, and demo a customer use case for advanced analytics.

Discussion en ligne

Event Streaming and the MongoDB Kafka Connector

In this online talk, we introduce Apache Kafka® and the MongoDB connector for Kafka, and demonstrate a real world stock trading use case that joins heterogeneous data sources to find the moving average of securities using Apache Kafka and MongoDB.

Discussion en ligne

RBAC, Multi-Region Clusters und mehr: Confluent Platform 5.4 im Detail

Confluent Technology Evangelist Kai Waehner zeigt in diesem Online Talk die wichtigsten Änderungen in den Bereichen Sicherheit, Disaster Recovery und Skalierbarkeit.

Discussion en ligne

Apache Kafka: Advice from the trenches or how to successfully fail!

Operating a complex distributed system such as Apache Kafka could be a lot of work. In this talk we will review common issues, and mitigation strategies, seen from the trenches helping teams around the globe with their Kafka infrastructure.

Discussion en ligne

Fueling real-time use cases in online media streaming through Kafka

We explain how the microservice ecosystem around Apache Kafka was built to ensure the ability to build and deploy new streaming agents on AWS fast and with the least amount of operational effort possible, as well as some of the issues we found and worked around.

Discussion en ligne

Deep Dive - Centralized ACLs & RBAC

Die Bereitstellung und der Betrieb eines verteilten und skalierbaren Datensystems kann eine Herausforderung darstellen. Im ersten Teil der Deep Dive Sessions werfen wir einen detaillierten Blick auf die Centralized ACLs und Role Based Access Control, inklusive einer Live-Demo im Confluent Control Center (C3).

Discussion en ligne

Modernizing the Manufacturing Industry with Kafka and MQTT

Industry 4.0 and smart manufacturing are driving the manufacturing industry to modernize their software infrastructure. This session will look at the unique business drivers for modernizing the manufacturing industry and how MQTT and Kafka can help make it a reality.

Discussion en ligne

Stream me to the Cloud (and back) with Confluent & MongoDB

In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming.

White Paper

Reference Architecture: Confluent and MongoDB

This reference architecture documents the MongoDB and Confluent integration including detailed tutorials for getting started with the integration, guidelines for deployment, and unique considerations to keep in mind when working with these two technologies.

Vidéo

Training & Certification - An Overview

In this short webinar, Thomas Trepper, Training Delivery Manager EMEA, shows the training options for Kafka developers and operators as well as the possibilities for certification. All online trainings and details can be found here: https://www.confluent.io/training/

Vidéo

Training & Zertifizierung - Überblick

Thomas Trepper, Training Delivery Manager EMEA, zeigt in diesem kurzen Webinar die Trainings-Optionen für Kafka-Entwickler und -Operator sowie die Möglichkeiten zur Zertifizierung. Alle Online-Trainings und Details findet ihr hier: https://www.confluent.io/training/

Vidéo

Building stream processing applications with Apache Kafka using ksql (Robin Moffatt, Confluent) - Big Data LDN 2019

Robin discusses the role of Apache Kafka as the de facto standard streaming data processing platforms.

Vidéo

Bridge to Cloud (Peter Gustafsson, Confluent) - Big Data LDN 2019

This session covers architectures best practises and recommendations for organisations aiming for a more cloud-centric approach in the use of Apache Kafka.

White Paper

Apache Kafka® in the Automotive Industry

Spending time with many OEMs and suppliers as well as technology vendors in the IoT segment, Kai Waehner gives an overview on current challenges in the automotive industry and on a variety of use cases for event-driven architectures.

Brief

Government’s Data Platform for Modern Applications

The Confluent event-streaming platform enables government organizations to unlock and repurpose their existing data for countless modern applications and use cases.

White Paper

Hochskalierbare Datenverarbeitung in Echtzeit - Tempo machen mit Apache Kafka®

Damit agile Prozesse sowie Echtzeit-Entscheidungen möglich werden, ist eine Event-Streaming-Architektur zwingend erforderlich.

Ebook

Apache Kafka Transaction Data Streaming for Dummies

Learn how CDC (Change Data Capture) captures database transactions for ingest into Confluent Platform to enable real-time data pipelines.

Brief

High-throughput Low-latency NoSQL solution - Scylla and Confluent

This brief describes a solution for real-time data streaming with ScyllaDB's NoSQL database paired with Confluent Platform.

Brief

Event Streaming and Graph Databases - Neo4j and Confluent

This brief describes a solution with Neo4js graph database and Confluent Platform.

Brief

Modernize data architectures - MongoDB and Kafka

This brief describes a modern data architecture with Kafka and MongoDB

Brief

Streaming Data Analysis and Visualization - Kinetica and Confluent

This brief describes streaming data analysis and visualization accelerated by Kinetica's GPU in-memory technology, in partnership with Confluent.

Brief

End-to-End Streaming Analytics - Imply and Confluent

This brief describes an end-to-end streaming analytics solution with Imply, Druid providing the data querying and visualizations and Kafka data streaming.

Brief

Real-time Data Integration into Kafka - HVR and Confluent

This brief describes a solution for data integration and replication in real time and continuously into Kafka, in partnership with HVR and Confluent.

Brief

Event driven enterprise architecture - DataStax and Confluent

This brief describes a modern datacenter to manage the velocity and variety of data with an event driven enterprise architecture with DataStax and Confluentj

Brief

Enabling Operational Data Flows with NoSQL - Couchbase and Confluent

This brief describes how to enable operational data flows with NoSQL and Kafka, in partnership with Couchbase and Confluent.

Brief

Accelerate Insights with Real-Time Event Streaming with Qlik and Confluent

This brief describes a solution to efficiently prepare data streams for Kafka and Confluent with Qlik Data Integration for CDC Streaming.

Brief

Streaming Analytics Platform - Altair and Confluent

This brief describes a comprehensive streaming analytics platform for visualizing real-time data with Altiar Panopticon and Confluent Platform.

White Paper

Exemples de sérialisation et désérialisation Kafka (SerDes)

Dive into full Kafka examples, with connector configurations and Kafka Streams code, that demonstrate different data formats and SerDes combinations for building event streaming pipelines.

Vidéo

Kafka Summit San Francisco 2019

View the recordings and slides from Kafka Summit San Francisco, the premier event for those who want to learn about streaming data.

White Paper

Role-Based Access Control (RBAC) for Kafka Connect

Ensure that only authorized clients have appropriate access to system resources by using RBAC with Kafka Connect.

White Paper

Confluent Verification Guide

This paper will guide developers who want to build an integration or connector and outlines the criteria used for Confluent to verify the integration.

Vidéo

Kafka Summit London 2019

Get the presentations from the Kafka Summit London 2019 event.

Vidéo

Kafka Summit New York 2019

Get the presentations from the Kafka Summit New York 2019 event.

White Paper

End-to-End Encryption with Confluent Cloud

Our Recommended Approach to Designing for “End-to-End Encryption” into Kafka Clients

Étude de cas

Développement de plateformes IdO en temps réel pour la distribution et les chaînes d'approvisionnement avec Confluent Cloud

With its ViZixⓇ item chain management platform, Mojix is helping major retailers store, analyze and act on inventory data collected from IoT sensor streams in real time.

White Paper

Confluent Cloud: Security Overview and Recommendations

Rest assured your Confluent Cloud cluster and data are secured! Here's how.

White Paper

Bridge to Cloud

Download this bridge-to-cloud deployment guide for designing, configuring and managing streaming applications in Confluent Cloud.

White Paper

Why Use Apache Kafka® to Migrate to the Cloud

Learn why organizations are considering Apache Kafka to streamline cloud migrations.

Étude de cas

Alight Solutions Increases the Pace of Digital Deliveries with a Unified Data Platform

Alight Solutions, recently embarked on an initiative to align the company’s internal organization with its next-generation digital strategy.

Vidéo

Kafka Summit San Francisco 2018

Get the presentations from the Kafka Summit San Francisco 2018 event.

Vidéo

Confluent Cloud: Agility for the modern data-driven enterprise (Hans Jespersen, Confluent) | Confluent Streaming Event, Paris 2018

Hans Jespersen (VP WW Systems Engineering, Confluent) Opened afternoon presentations: Confluent Cloud: Agility for the modern data-driven enterprise at Confluent’s streaming event in Paris.

Vidéo

The State of Stream Processing (Gwen Shapira, Confluent) | Confluent Streaming Event - Paris 2018

In this talk Gwen Shapira will break through the clutter and look at how successful companies are adopting centralized streaming platforms, and the use-cases and methodologies that we see practiced right now.

White Paper

Fives Stages to Streaming Platform Adoption

Use cases for streaming platforms vary from improving the customer experience - we have synthesized some common themes of streaming maturity and have identified five stages of adoption

Brief

Event-driven business: How to handle the flow of event data

Get key research stats on why CIOs are turning to streaming data for a competitive advantage.

Report

The Total Economic Impact of Confluent Platform

Download this Forrester study to understand the economic benefits of Confluent Platform. Learn how you can reduce DevOps costs by $2.4M and accelerate business enablement by $3.8M.

White Paper

Streams and Tables: Two Sides of the Same Coin

In this paper, we introduce the Dual Streaming Model. The model presents the result of an operator as a stream of successive updates, which induces a duality of results and streams.

Vidéo

Stream Processing and Build Streaming Data Pipelines with Apache Kafka and KSQL

In this talk, we’ll explain the architectural reasoning for Apache Kafka® and the benefits of real-time integration, and we’ll build a streaming data pipeline using nothing but our bare hands, Kafka Connect and KSQL.

White Paper

Confluent Platform Reference Architecture for Kubernetes

The reference architecture provides a detailed architecture for deploying Confluent Platform on Kubernetes and uses the Helm Charts for Confluent Platform as a reference to illustrate configuration and deployment practices.

Discussion en ligne

Apache Kafka® et le traitement de flux chez Pinterest

In this talk, members of the Pinterest team share details of their results, offer lessons learned from their Confluent Go client migration and discuss their use cases for adopting Kafka Streams.

Discussion en ligne

Capital One Delivers Risk Insights in Real Time with Stream Processing

Join us for this online talk on lessons learned, best practices and technical patterns of Capital One’s deployment of Apache Kafka®.

Discussion en ligne

Apache Kafka® Delivers a Single Source of Truth for The New York Times

Join The New York Times' Director of Engineering Boerge Svingen to learn how the innovative news giant of America transformed the way it sources content—all through the power of a real-time streaming platform.

Discussion en ligne

Stateful, Stateless and Serverless – Running Apache Kafka® on Kubernetes

Joe Beda, CTO of Heptio and co-creator of Kubernetes, and Gwen Shapira, principal data architect at Confluent, will help you decide if running Kafka on Kubernetes is the right approach for your organization.

Report

2018 Apache Kafka® Report

The survey of the Apache Kafka community shows how and why companies are adopting streaming platforms to build event-driven architectures.

White Paper

Stream Processing Made Easy With Confluent Cloud and KSQL

Download the deployment guide to designing, configuring, and managing stream processing in Confluent Cloud with KSQL.

White Paper

Recommendations for Developers using Confluent Cloud

In this white paper, we offer recommendations and best practices for designing data architectures that will work well with Confluent Cloud.

White Paper

Recommendations for Deploying Apache Kafka® on Kubernetes

Learn Kubernetes terms, concepts and considerations, as well as best practices for deploying Apache Kafka on Kubernetes.

Vidéo

Kafka and the Service Mesh

Originally presented by Gwen Shapira at Gluecon 2018, this talk covers the similarities and differences between the communication layer provided by a service mesh and Apache Kafka and their implementations, as well as ways you can combine them together.

White Paper

Top 3 Streaming Use Cases for Real Time Streams in Financial Services Architectures

Read this white paper to learn about the common use cases Confluent is seeing amongst its financial services customers.

Vidéo

Kafka Summit London 2018

Get the presentations from the Kafka Summit London 2018 event.

Vidéo

KSQL from Confluent | Streaming SQL for Apache Kafka

Get an introduction to and demo of KSQL, Streaming SQL for Apache Kafka.

Vidéo

KSQL Introduction | Level Up your KSQL

This video offers an introduction to Kafka stream processing, with a focus on KSQL.

Ebook

Conception de systèmes axés sur les événements

Learn how service-based architectures and stream processing tools such as Apache Kafka can help you build business-critical systems.

Vidéo

Confluent & Apache Kafka® Power Funding Circle's Lending Marketplace

Learn about the impact of Confluent and Apache Kafka® on Funding Circle’s lending marketplace, from Kafka Connect to Exactly-Once processing.

Vidéo

HomeAway uses Confluent & Apache Kafka® to Transform Travel

HomeAway, the world’s leading online marketplace for the vacation rental industry, uses Apache Kafka® and Confluent to match travelers with 2 million+ unique places to stay in 190 countries.

Vidéo

RBC's Data-Driven Transformation with Confluent Platform

One of the largest banks in the world—with 16 million clients globally—RBC built a real-time, scalable and event-driven data architecture for their rapidly growing number of cloud, machine learning and AI initiatives.

White Paper

Monitoring Your Apache Kafka® Deployment End-to-End

In this white paper, you will learn how you can monitor your Apache Kafka deployments like a pro, the 7 common questions you'll need to answer, what requirements to look for in a monitoring solution and key advantages of the Confluent Control Center.

Vidéo

A Tour of Apache Kafka

Learn about typical Apache Kafka use cases and how organisations can process large quantities of data in real time using the Kafka Streams API and KSQL.

White Paper

10 Principles for Streaming Services

This paper provides 10 principles for streaming services, a list of items to be mindful of when designing and building a microservices system

Vidéo

Jay Kreps (CEO, Confluent) on Exactly-once Semantics In Apache Kafka

Kafka has a set of new features supporting idempotence and transactional writes that support building real-time applications with exactly-once semantics. This talk provides an overview of these features.

Vidéo

Divide, Distribute and Conquer: Stream vs. Batch [Philly JUG]

In this talk, get a short introduction to common approaches and architectures (lambda, kappa) for streaming processing and learn how to use open-source steam processing tools (Flink, Kafka Streams, Hazelcast Jet) for stream processing.

Vidéo

Apache Kafka for Java Developers [Pittsburgh JUG]

In this talk, we’ll review the breadth of Apache Kafka as a streaming data platform, including, its internal architecture and its approach to pub/sub messaging.

Vidéo

Kafka Summit San Francisco 2017

Get the presentations from the Kafka Summit San Francisco 2017 event.

White Paper

Reprise d'activité après sinistre pour les déploiements d'Apache Kafka dans plusieurs centres de données

A practical guide to configuring multiple Apache Kafka clusters so that if a disaster scenario strikes, you have a plan for failover, failback, and ultimately successful recovery.

Vidéo

Microservices Explained

What is microservices? And how does it work in the Apache Kafka ecosystem.

Presentation

Building Microservices with Apache Kafka®

In this talk, I'll describe some of the design tradeoffs when building microservices, and how Apache Kafka's powerful abstractions can help.

Vidéo

Streaming Microservices: Contracts & Compatibility

Recording from QCon New York 2017 Gwen Shapira discusses patterns of schema design, schema storage and schema evolution that help development teams build better contracts through better collaboration - and deliver resilient applications faster.

Datasheet

Confluent Cloud Datasheet

Confluent Cloud™ is a hosted and fully managed Apache Kafka® as a service in the public cloud.

Ebook

Kafka: The Definitive Guide

Learn how to take full advantage of Apache Kafka®, the distributed, publish-subscribe queue for handling real-time data feeds.

White Paper

Real Time is Happening: Discover How Data Streaming Can Revolutionize Your Business

Businesses are discovering that they can create new business opportunities as well as make their existing operations more efficient using real-time data at scale. Learn how real-time data streams is revolutionizing your business.

Vidéo

Kafka Summit San Francisco 2016

Get the presentations from the Kafka Summit San Francisco 2016 event.

Vidéo

Kafka Summit New York City 2017

Get the presentations from the Kafka Summit NYC event.

White Paper

Optimizing Your Apache Kafka® Deployment

This whitepaper discusses how to optimize your Apache Kafka deployment for various services goals including throughput, latency, durability and availability. It is intended for Kafka administrators and developers planning to deploy Kafka in production.

Report

2017 Apache Kafka® Report

This survey focuses on why and how companies are using Apache Kafka and streaming data and the impact it has on their business.

Datasheet

Formation Confluent pour développeurs : élaboration de solutions Kafka

In this three-day hands-on course you will learn how to build an application that can publish data to, and subscribe to data from, an Apache Kafka cluster.

Datasheet

Formation Confluent pour les opérations et l'administration d'Apache Kafka

In this three-day hands-on course, you will learn how to build, manage, and monitor clusters using industry best-practices developed by the world’s foremost Apache Kafka experts.

Presentation

Stream Processing with Apache Kafka and .NET

In this talk, Matt Howlett will give a technical overview of Kafka, discuss some typical use cases (from surge pricing to fraud detection to web analytics) and show you how to use Kafka from within your C#/.NET applications.

Presentation

Distributed Stream Processing with Apache Kafka

Presentation from Apache Kafka Meetup at Strata San Jose (3/14/17). Jay Kreps will introduce Kafka and explain why it has become the de facto standard for streaming data.

White Paper

Microservices in the Apache Kafka® Ecosystem

This white paper provides a brief overview of how microservices can be built in the Apache Kafka ecosystem.

Vidéo

Application Development in the Emerging World of Stream Processing - 46:45

Michael Noll provides an introduction to stream processing, use cases, and Apache Kafka.

Ebook

I Heart Logs

Jay Kreps, CEO of Confluent and co-creator of Apache Kafka, shows how logs work in distributed systems, and provides practical applications of these concepts.

White Paper

Deploying Confluent Enterprise on Microsoft Azure

This white paper outlines the integration of Confluent Enterprise with the Microsoft Azure Cloud Platform.

White Paper

Partner Development Guide for Kafka Connect

Best practices for developing a connector using Kafka Connect APIs.

White Paper

Deploying Confluent Platform with Mesosphere Datacenter Operating System

A step-by-step guide to deploying Confluent Platform services on a running DC/OS environment.

White Paper

Comparing Confluent Platform with Traditional Messaging Middleware

In this paper, we explore some of the fundamental concepts of Apache Kafka, the foundation of Confluent Platform, and compare it to traditional message-oriented middleware.

White Paper

Confluent Enterprise Reference Architecture

Learn about the components of Confluent Enterprise, key considerations for production deployments, and guidelines for selecting hardware or deployment with different cloud providers.

Ebook

Making Sense of Stream Processing

In this book, O’Reilly author Martin Kleppmann shows you how stream processing can make your data processing systems more flexible and less complex.

Datasheet

Confluent Platform Datasheet

An overview of the enterprise-ready event streaming platform.

Vidéo

Large-Scale Stream Processing with Apache Kafka - 50:46

Neha Narkhede explains how Apache Kafka was designed to support capturing and processing distributed data streams by building up the basic primitives needed for a stream processing system.