Conferences

Confluent is proud to participate in the following conferences, trade shows and meetups.

Kafka: Deep Dive and Integration Patterns

Speaker: Dario BalinzoSession: A Deep Dive into Kafka Connect7:30 pm - 8:15 pm

The talk will show the usage of Kafka Connect as a data-shipping framework between Kafka and external sources. It will also be presented some examples of KSQL analyzing data from different sources. Finally, it will described how to develop a custom Kafka connector to interface with external legacy or proprietary sources, where an official connector is not already present.

Speaker: Alberto ParoSession: Kafka Integration Patterns8:15 pm - 9:00 pm

You need to integrate Kafka in your infrastructure or you need to build an application at top of Kafka? To do these you need to know the most common Kafka integration patterns. We''ll see some architecture samples and some patterns based on Kafka connect and Kafka Reactive Streams based on Alpakka to build a simple application to ingest data using a complex flow with back-pressure and monitoring.

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Microsoft Inspire

Session: DA118t - Accelerate Your Business with the Integration of Open Source Data Solutions and Azure

Explore the portfolio of open source technologies available with Microsoft, including Azure Database for MySQL, Azure Database for PostgreSQL and MariaDB, Databricks, Azure HDInsight, Azure CosmosDB, NoSQL data, as well as third-party data solutions on Azure like Kafka. Learn how you can gain from open source technologies complemented with Microsoft innovations in scale, availability and security. Also, learn how to compete against AWS and Google Cloud Platform on the OSS data space with Azure.

Get an overview of the full breadth of open source data solutions on Azure and the opportunity.

Session Details
Speaker: Sagar Gunniguntla, Business Development (Cloud & Infrastructure Partners), Confluent

Sagar Gunniguntla heads Cloud & Infrastructure Business Development at Confluent, the creators of Apache Kafka®. Sagar has diverse industry and partnerships background, from launching the first Android smartphone with Google, HTC (while at Qualcomm) to enterprise mobility, AI-enabled voice assistant services, connected-cars and cloud computing. He is a believer in the "art of the possible" with partners and excited about driving new opportunities and solutions on Azure.

Speaker: Ron Abellera, Azure Black belt, Microsoft

Ron is a cloud architect on Microsoft’s Azure Global Black Belt Team, working with customers from the CxO level to the technical architects helping them develop strategy, architecture and a DevOps mindset to solve business challenges with the cloud.

Event Details

Kafka Streams API and Kafka at Zendesk

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Speaker: Antony Stubbs, Solution Architect, ConfluentSession: Beyond the DSL—Unlocking the power of Kafka Streams with the Processor API6:30 pm - 7:15 pm

Kafka Streams is a flexible and powerful framework. The Domain Specific Language (DSL) is an obvious place from which to start, but not all requirements fit the DSL model.

Many people are unaware of the Processor API (PAPI) or are intimidated by it because of sinks, sources, edges and stores—oh my! But most of the power of the PAPI can be leveraged, simply through the DSL `#process` method, which lets you attach the general building block `Processor` interface to your -easy to use- DSL topology, to combine the best of both worlds.

In this talk you’ll get a look at the flexibility of the DSL’s process method and the possibilities it opens up. We’ll use real world use-cases borne from extensive experience in the field with multiple customers to explore power of direct write access to the state stores and how to perform range sub-selects. We’ll also see the options that punctuators bring to the table, as well as opportunities for major latency optimisations.

Key takeaways:

    Understanding of how to combine DSL and processors
    Capabilities and benefits of processors
    Real-world uses of processors

Antony is a solution architect for Confluent and spends most of his working hours talking to customers all around the world about their Kafka usage, his favourite aspect being funky Kafka Streams use cases.

Focusing on Java environment technologies, he has previously worked in the telecommunications, logistics, TV media and education industries.

Antony enjoys learning deeply about different cultures and that has encouraged him to move from his hometown in New Zealand to The Netherlands, New York and currently London.

Speaker: Tim Cuthbertson, Tech Lead and Staff Engineer, ZendeskSession: Overview of Kafka at Zendesk7:15 pm - 8:00 pm

Tim will talk about the use case of Kafka at Zendesk, Including Zendesk's open source change data capture system Maxwell.

Tim is the Tech Lead and Staff Engineer on the Event Streaming Team at Zendesk.

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AWS Global Summit NYC

The AWS Summit is a free event designed to bring together the cloud computing community to connect, collaborate, and learn about AWS. Learn by attending technical sessions, workshops, chalk talks, and participating in team challenges. Visit The Expo to speak with our cloud technology providers and consultants who can help you get the most out of the AWS products, services, and solutions in the cloud.

Event Details

NoSQL im Finanz - und Versicherungssektor

Unternehmen der Finanz- und Versicherungswirtschaft wie Concur, Generali, Paypal, ADP oder Visa setzen für geschäftskritische Anwendungen auf Couchbase und Confluent, denn sie stehen vielen Herausforderungen gegenüber:

    -Reaktion auf Kundenaktivitäten und alle anderen Event-gesteuerten Services in Echtzeit
    -Einblicke in das unternehmensweite Markt-, Kredit- und Liquiditätsrisiko
    -Umsetzung globaler und regionaler Compliance-Richtlinien (wie aktuell z.B. GDPR)
    -Modernisierung der Dateninfrastruktur, um die oben genannten Punkte erfüllen zu können
    -Mainframe Offload

In diesem Webinar erfahren Sie, wie Sie mit Couchbase und Confluent vorhandene Datenbanktechnologien ersetzen oder kombinieren können, um ihre Anwendungen schneller, agiler und kostengünstiger zur Verfügung zu stellen.

Speaker: Bruno Šimić, Senior Solutions Engineer, Couchbase
Speaker: Stefan Krause, Enterprise Account Executive, DACH, Couchbase
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All About Kafka: Origins, Ecosystem & Future Directions

7:00 pm - 9:00 pm
Speaker: Paolo Castagna, Senior Systems Engineer, ConfluentSession: Introduction to Apache Kafka®...and Why It Matters!

This talk will introduce Apache Kafka (including Kafka Connect, Kafka Streams APIs and KSQL), Confluent and explain why Apache Kafka is a great option and simplification for stream processing in the context of two of the main driving forces and industry wide trends: internet of things (IoT) and microservices. Paolo's background is on big data, and he has first hand experience on the shift happening in the industry from batch to stream processing and from big data to fast data.

Speaker: Óscar Gómez and Beatriz Pariente, Software Architects, StratioSession: Kafka Use Cases on Microservices Architectures

This talk will show through real use cases how Kafka can help us on our event-driven microservices architectures.

After the presentations, there will be time to answer questions and discuss ideas while we share some pizzas and drinks.

*The meetup is in English.*

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OSCON Open Source Convention

OSCON has been ground zero of the open source movement. In its 20th year, OSCON continues to be the catalyst for innovation and success for companies.

Speaker: Tim Berglund, Senior Director of Developer Experience, ConfluentSession: Tutorial
Event Details

Kafka, KSQL & IoT with Crate & Confluent

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Speaker: Mika Naylor, Developer, CrateSession: Local Weather Visualisation with IoT, Kafka and CrateDB 19:15 - 20:00

Ever wanted to build your own weather data service? In this talk, Mika will discuss how–from building your own IoT-enabled weather station–to setting up weather data ingestion pipelines with Kafka and CrateDB, to creating a simple API using Flask for visualisation.

Mika is a developer at Crate, working primarily with infrastructure, Kubernetes and Docker. She is also a maintainer of Black, a python code formatter project. Outside of software she enjoys hardware tinkering, monochromatic colour palletes and reading on cybernetics, solarpunk and the politics of technology.

Speaker: Robin Moffatt, Developer Advocate, ConfluentSession: Apache Kafka® and KSQL in Action: Let’s Build a Streaming Data Pipeline!20:00 - 20:45

Have you ever thought that you needed to be a programmer to do stream processing and build streaming data pipelines? Think again!

Companies new and old are all recognising the importance of a low-latency, scalable, fault-tolerant data backbone, in the form of the Apache Kafka streaming platform. With Kafka, developers can integrate multiple sources and systems, which enables low latency analytics, event-driven architectures and the population of multiple downstream systems. These data pipelines can be built using configuration alone.

In this talk, we’ll see how easy it is to stream data from a database such as Oracle into Kafka using the Kafka Connect API. In addition, we’ll use KSQL to filter, aggregate and join it to other data, and then stream this from Kafka out into multiple targets such as Elasticsearch and MySQL. All of this can be accomplished without a single line of code!

Why should Java geeks have all the fun?

Robin is a Developer Advocate at Confluent, the company founded by the creators of Apache Kafka, as well as an Oracle ACE Director and Developer Champion. His career has always involved data, from the old worlds of COBOL and DB2, through the worlds of Oracle and Hadoop, and into the current world with Kafka. His particular interests are analytics, systems architecture, performance testing and optimization.

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KSQL & Event-Powered Kafka Rails Services

Speaker: Stella Cotton, Ruby Engineer, HerokuSession: So You’ve Got Yourself a Kafka: Event-Powered Rails Services6:15 pm - 6:55 pm

Stella Cotton is a Ruby engineer at Heroku and co-founder of AndConf and Fog City Ruby. She loves good abstractions and boring technology.

Speaker: Hojjat Jafarpour, KSQL Project Lead and Software Engineer, ConfluentSession: KSQL: Streaming SQL Engine for Apache Kafka®7:00 pm - 7:30 pm

Hojjat created the KSQL project at Confluent and is the lead engineer for the project. Before joining Confluent he has worked at NEC Labs, Informatica, Quantcast and Tidemark on various big data management projects. He has a PhD in computer science from UC Irvine, where he worked on scalable stream processing and publish/subscribe systems.

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Google Cloud Next

Speaker: Gwen Shapira, Principal Data Architect, Confluent
Speaker: Kir Titievsky, Product Manager, Google Cloud Platform
Speaker: Boerge Svingen, Director of Engineering, The New York Times
Session: Apache Kafka® Ecosystem “As-a-Service” on GCP with Confluent CloudJuly 24, 1:55 pm - 2:45 pm

It’s not just Apache Kafka — it’s the ecosystem. Making the most of streaming, event-driven architectures on Apache Kafka takes a host of supporting and complementary systems. High availability, multi-regional deployments that span public and private clouds are a substantial operational challenge. And on the application front, there is data discovery, schema management and governance, processing and ultimately connecting to relevant data sources and destinations. This talk is about how Confluent Cloud solves these problems for Kafka users on GCP by making the stream processing ecosystem of Apache Kafka easily accessible and connected to Cloud BigQuery, Cloud Bigtable, and other native and open source tools on GCP.

Session Details
Speaker: Nick Dearden, Director of Engineering, ConfluentSession: Stream Processing Made Easy with Confluent Cloud and KSQLJuly 25, 1:30 pm
Event Details

Beyond the DSL—Unlocking the Power of Kafka Streams with the Processor API

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Speaker: Antony Stubbs, Solution Architect, Confluent6:30 pm - 7:15 pm

Kafka Streams is a flexible and powerful framework. The Domain Specific Language (DSL) is an obvious place from which to start, but not all requirements fit the DSL model.

Many people are unaware of the Processor API (PAPI) or are intimidated by it because of sinks, sources, edges and stores—oh my! But most of the power of the PAPI can be leveraged, simply through the DSL `#process` method, which lets you attach the general building block `Processor` interface to your -easy to use- DSL topology, to combine the best of both worlds.

In this talk you’ll get a look at the flexibility of the DSL’s process method and the possibilities it opens up. We’ll use real world use cases borne from extensive experience in the field with multiple customers to explore power of direct write access to the state stores and how to perform range sub-selects. We’ll also see the options that punctuators bring to the table, as well as opportunities for major latency optimisations.

Key takeaways:

    Understanding of how to combine DSL and processors
    Capabilities and benefits of processors
    Real-world uses of processors

Antony is a Solution Architect for Confluent and spends most of his working hours talking to customers all around the world about their Apache Kafka® usage, his favourite aspect being funky Kafka Streams use cases.

Java environment technology being his speciality, his background also includes telecommunications, software prototyping, logistics, TV media and education.

Antony enjoys learning deeply about different cultures and that has encouraged him to move from his hometown in New Zealand to the Netherlands, Ukraine, New York and currently London.

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KSQL: Stream Processing, ganz ohne Coding

11:00 Uhr GMT

Echtzeit-Streaming-Anwendungen können jetzt mit KSQL, der Open-Source-Streaming-SQL-Engine für Apache Kafka erstellt werden. Lernen Sie die Architektur von KSQL kennen und erfahren Sie, wie Sie in einem Live Demo wie interaktive, kontinuierliche Abfragen für das Streaming von ETL- und Echtzeitanalysen entworfen und implementiert werden können.

Erfahren Sie in diesem Online Talk mehr über:

    die Motivation, Konzepte und Architektur hinter KSQL
    Live Demo mittels CLI und Web Interface
    Integration in das Kafka-Ökosystem

Speaker: Kai Wähner, Technology Evangelist, Confluent

Kai Wähner ist als Technology Evangelist bei Confluent tätig. Seine Schwerpunkte liegen in den Bereichen Big Data Analytics, Machine Learning, Messaging, Integration, Microservices, Internet of Things, Stream Processing und Blockchain. Außerdem ist er Autor von Fachartikeln, hält Vorträge auf internationalen Konferenzen und berichtet in seinem Blog über Erfahrungen mit neuen Technologien..

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5 Steps to Build Streaming Systems

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Speaker: Neha Narkhede, Co-founder and CTO, Confluent6:00 pm - 7:30 pm

Neha will cover a five-step adoption journey we observe organisations going through as they build streaming systems.

First, the organisation becomes aware of streaming as an architectural paradigm and builds a pilot system. After that pilot succeeds, streaming goes live with the first production system.

Third, the small production system spreads to an mission-critical application. Fourth, as the organisation gains competence with the new platform and comes to depend more and more on the advantages conferred by a streaming platform, that mission-critical application is expanded to a global use case, where streaming data is produced and consumed across geographies.

Finally, the organisation learns that a streaming platform is the proper core on which to layer all of its applications and services, and the “central nervous system” metaphor of comprehensive streaming adoption finally becomes true. Streaming adoption, having begun with an idea and a pilot project, has finally transformed a business and its entire information architecture.

Neha Narkhede is co-founder and CTO at Confluent, a company backing the popular Apache Kafka® messaging system. Prior to founding Confluent, Neha led streams infrastructure at LinkedIn, where she was responsible for LinkedIn’s streaming infrastructure built on top of Apache Kafka and Apache Samza. She is one of the initial authors of Apache Kafka and a committer and PMC member on the project.

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Unleashing Apache Kafka® and TensorFlow in the Cloud

Speaker: Kai Waehner, Technology Evangelist, Confluent10:00 am - 11:00 am PT | 1:00 - 2:00 pm ET | 6:00 pm - 7:00 pm BST

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.

He will explain challenges and best practices for building a scalable infrastructure for machine learning using Confluent Cloud on Google Cloud Platform (GCP), Confluent Cloud on AWS and on-premise deployments.

The discussed architecture will include capabilities like scalable data preprocessing for training and predictions, combination of different deep learning frameworks, data replication between data centers, intelligent real-time microservices running on Kubernetes and local deployment of analytic models for offline predictions.

Join us to learn about the following:

    Extreme scalability and unique features of Confluent Cloud
    Building and deploying analytic models using TensorFlow, Confluent Cloud and GCP components such as Google Storage, Google ML Engine, Google Cloud AutoML and Google Kubernetes Engine in a hybrid cloud environment
    Leveraging the Kafka ecosystem and Confluent Platform in hybrid infrastructures

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AWS Global Summit Chicago

The AWS Summit is a free event designed to bring together the cloud computing community to connect, collaborate and learn about AWS. Learn by attending technical sessions, workshops, chalk talks and participating in team challenges. Visit the Expo to speak with leading cloud technology providers and consultants who can help you get the most out of the AWS products, services and solutions in the cloud.

Event Details

Microservices Meetup Munich

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We will meet at 6:30pm at the canteen of RIO
– a Brand of Volkswagen Truck & Bus (MAN Truck & Bus building), with drinks and pizza.

The talk starts at 7pm and will be in English
Robin Moffatt: Embrace the Anarchy : Apache Kafka's Role in Modern Data Architectures

After the talk we have time for drinks and conversations.

Speaker: Robin Moffatt, Developer Advocate, ConfluentSession: Embrace the Anarchy : Apache Kafka's Role in Modern Data Architectures

Building a flexible, scalable, real-time data architecture for the enterprise is no simple matter. Rarely does one single technology suit for all requirements, and frequently many different teams are involved which drives solutions with varying levels of [dis-]integration.

Apache Kafka is a streaming platform that acts as the 'data backbone' for the enterprise. By streaming events into Kafka as they occur, they can be used in any dependent system, in real time or batch. Search replicas, NoSQL stores, caches, graph databases - these all have their place in solving specific requirements, and all need to be fed with data! Kafka is the enabling platform that supports the real-time, high performance, scalable integration of data throughout the enterprise, whilst also providing the messaging capabilities to drive applications directly.

This talk will discuss the role and benefits of Kafka in an architecture, the Kafka ecosystem, and several design patterns used to address specific challenges that organisations face with managing their flows and availability of data.

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Strata Data East

How do you drive business results with data?

Every year thousands of top data scientists, analysts, engineers, and executives converge at Strata Data Conference—the largest gathering of its kind. It's where technologists and decision makers turn data and algorithms into business advantage.

Event Details

SpringOne

Event Details
Speaker: Neha Narkhede, Co-founder and CTO, Confluent

Neha is the co-founder of Confluent and one of the initial authors of Apache Kafka®. She’s an expert on modern,
stream-based data processing.

Speaker: Rohit Bakshi, Product Manager, Confluent
Speaker: Prasad Radhakrishnan Manager, Data Engineering, Pivotal
Session: Cloud-Native Streaming Platform: Running Apache Kafka® on PKS (Pivotal Container Service)

When it comes time to choose a distributed streaming platform of choice for real-time data pipelines, everyone knows the answer: Apache Kafka. And when it comes to deploying real-time stream processing applications at scale without having to integrate some different pieces of infrastructure yourself? The answer is Kubernetes. In this talk, Rohit Bakhshi, product manager at Confluent, and Prasad Radhakrishnan, head of platform architecture for data at Pivotal discuss the best practices of running Apache Kafka and other components of a streaming platform, such as Kafka Connect, Schema Registry as well as stream processing apps, on PKS (Pivotal Container Service). In this talk, the presenters will cover the challenges and lessons learned from development of Confluent Operator for Kubernetes as well as various custom deployments on PKS.

Session Details
Speaker: Viktor Gamov, Solutions Architect, Confluent
Speaker: Gary Russell, Senior Staff Software Engineer, Pivotal
Session: Walking up the Spring for Apache Kafka Stack

Spring provides several projects for Apache Kafka. spring-kafka provides familiar Spring programming paradigms to the kafka-clients library. spring-integration-kafka adds Spring Integration channel adapters and gateways. The kafka binder for spring-cloud-stream provides kafka support to microservices built with Spring Cloud Stream and used in Spring Cloud Data Flow. In this talk we will take a look at developing applications at each layer of the stack, and discuss how to choose the layer for your application.

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CarIT Congress

The car manufacturers are currently driving four future technologies massively forward. Those are: Autonomous, Smart Services, Connected and Electric. Each challenge has the potential to radically change the automotive sector and together they will revolutionize the automotive industry.

Event Details

JAX London

Speaker: Tim Berglund, Senior Director of Developer Experience, ConfluentSession: Stream Processing with Apache Kafka® and KSQL

Apache Kafka is a de facto standard streaming data processing platform, being widely deployed as a messaging system, and having a robust data integration framework (Kafka Connect) and stream processing API (Kafka Streams) to meet the needs that common attend real-time message processing. But there’s more! Kafka now offers KSQL, a declarative, SQL-like stream processing language that lets you define powerful stream-processing applications easily. What once took some moderately sophisticated Java code can now be done at the command line with a familiar and eminently approachable syntax. In this workshop, you’ll get a thorough introduction to Apache Kafka, learn to understand what sort of architectures it supports, and most importantly, use the exciting new KSQL language to write real-time stream processing applications.

Session Details
Speaker: Tim Berglund, Senior Director of Developer Experience, ConfluentSession: The Database Unbundled: Commit logs in an age of Microservices

Microservice architectures provide a robust challenge to the traditional centralized database we have come to understand. In this talk, we’ll explore the notion of unbundling that database, and putting a distributed commit log at the center of our information architecture. As events impinge on our system, we store them in a durable, immutable log (happily provided by Apache Kafka), allowing each microservice to create a derived view of the data according to the needs of its clients. Event-based integration avoids the now well-known problems of RPC and database-based service integration, and allows the information architecture of the future to take advantage of the growing functionality of stream processing systems like Apache Kafka. This way we can create systems that can more easily adapt to the changing needs of the enterprise and provide the real-time results we are increasingly being asked to provide.

Session Details

Tim is a teacher, author and technology leader with Confluent, where he serves as the Senior Director of Developer Experience. He can frequently be found at speaking at conferences in the United States and all over the world. He is the co-presenter of various O’Reilly training videos on topics ranging from Git to Distributed Systems, and is the author of "Gradle Beyond the Basics."

Event Details

Confluent Streaming Event Paris 2018

Companies are reinventing the retail, healthcare, automotive, travel, financial services and nearly every other possible sector around real-time event streams, creating a new technology model. Event architecture follows the idea of ​​designing software from events, things that happen in the real world and have real business sense, so that these events become the central concept of architecture.

More and more companies are using Apache Kafka® and Confluent at the heart of their digital strategy to get real-time information about customer data, fraud detection and IoT data processing.

On October 11, 2018, find decision-makers, data architects and IT developers at the Marceau Trade Shows in Paris to discover more about streaming platforms and Kafka projects underway in the most diverse industries.

Do not miss the intervention of Gwen Shapira, Senior Data Architect at Confluent and author of "The Definitive Guide to Kafka," as well as technical feedback from Confluent's customers and partners. Book your place now because they are limited.

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Kafka Summit San Francisco

Discover the World of Streaming Data

As streaming platforms become central to data strategies, companies both small and large are re-thinking their architecture with real-time context at the forefront. Monoliths are evolving into Microservices. Data-centers are moving to the cloud. What was once a ‘batch’ mindset is quickly being replaced with stream processing as the demands of the business impose more and more real-time requirements on developers and architects.

This revolution is transforming industries. What started at companies like LinkedIn, Uber, Netflix and Yelp has made its way to countless others in a variety of sectors. Today, thousands of companies across the globe build their businesses on top of Apache Kafka®. The developers responsible for this revolution need a place to share their experiences on this journey.

Kafka Summit is the premier event for data architects, engineers, devops professionals, and developers who want to learn about streaming data. It brings the Apache Kafka community together to share best practices, write code, and discuss the future of streaming technologies.

Welcome to Kafka Summit San Francisco!

Event Details

W-JAX

Event Details
Speaker: Ben Stopford, Technologist, Office of the CTO, ConfluentSession: The Future of Applications is Streaming

It was a row in a database table. That is no longer the case. Events for example represent data in motion: a fact that moves from one application to another. In this talk we'll look at the future of the streaming platform, as it embodies this shift away from data at rest and toward data in motion. We'll explore the motivations for this change, what a streaming platform is, and finally look at these cases.

Session Details
Speaker: Thomas Trepper, Technical Instructor, EMEA, ConfluentSession: Apache Kafka® Workshop: Introduction to the Architecture and Ecosystem of Enterprise Data Streaming

In this 6-hour training session, we want to focus on the motivation for Apache Kafka, the distributed streaming platform, as well as the deeper functionality into the ecosystem, which includes the extended functionalities of Confluent Platform. You will learn more about the Kafka cluster and Kafka features, as well as brokers, topics, partitions and consumer groups.

Session Details
Speaker: Robin Moffatt, Developer Advocate, ConfluentSession: Apache Kafka and KSQL in Action: Build a Streaming Data Pipeline!

Have you ever thought that you needed to be a programmer to do stream processing and build streaming data pipelines? Think again! Apache Kafka is a distributed, scalable, and fault-tolerant streaming platform, providing low-latency pub-sub messaging coupled with native storage and stream processing capabilities. Integrating Kafka with RDBMS, NoSQL and object stores is simple with Kafka Connect, which is part of Apache Kafka. KSQL is the open-source SQL streaming engine for Apache Kafka, and makes it possible to build stream processing applications at scale, written using a familiar SQL interface.

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.

Gasp as we filter events in real time! Be amazed at how we can enrich streams of data with data from RDBMS! Be astonished at the power of streaming aggregates for anomaly detection!

Session Details
Speaker: Kai Waehner, Technology Evangelist, ConfluentSession: Unleashing Apache Kafka and Tensor Flow in the Cloud

Apache Kafka ecosystem to build scalable, mission-critical machine learning infrastructures, which span multiple public clouds, or bridge your on-premise data center to cloud? This talk 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.

Deep learning frameworks, data replication between data centers, intelligent real-time microservices running on Kubernetes, and local deployment of analytical models for offline predictions will be covered.

Session Details
Event Details

Big Data London

Speaker: Jay Kreps, Co-founder and CEO, ConfluentRoom: Keynote Theater13 November, 09:30

Jay Kreps is the CEO of Confluent, Inc., a company backing the popular Apache Kafka® messaging system. Prior to founding Confluent, he was formerly the lead architect for data infrastructure at LinkedIn. He is among the original authors of several open source projects including Project Voldemort (a key-value store). Apache Kafka (a distributed messaging system) and Apache Samza (a stream processing system).

Event Details

Big Data Spain

Discover innovative AI and BD strategies that will shape our future, where the ideas of tomorrow meet the experts of today.

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XebiCon '18

“Nous sommes convaincus qu’allier vision business et excellence technologique est indispensable dans un monde globalisé et concurrentiel. Le SI doit se préparer dès aujourd’hui à intégrer les technologies de demain et leurs cas d’usage. Nous croyons fermement au partage de la connaissance pour tous et par tous. C’est pourquoi, nous avons créé XebiCon, la conférence qui vous donnera les clés pour tirer le meilleur des dernières technologies.

-Luc Legardeur, Président de Xebia

Détails de l'événement

AWS re:INVENT

Join us for deeper technical content, more hands-on learning opportunities, keynote announcements, a bigger and better Partner Expo, exciting after-hours events, and the best party in technology—re:Play.

At re:Invent 2018, you can dive into solving challenges and working on a team in our two-hour workshops. In the chalk talks or builders sessions, you will have the opportunity to interact in a small group setting with AWS experts as they whiteboard through problems and solutions. In addition, we will be repeating our most popular sessions and offering late night sessions, so you get the most out of re:Invent.

Event Details

KubeCon + CloudNativeCon

The Cloud Native Computing Foundation’s flagship conference gathers adopters and technologists from leading open source and cloud native communities in Seattle, WA on December 11-13, 2018. Join Kubernetes, Prometheus, OpenTracing, Fluentd, gRPC, containerd, rkt, CNI, Envoy, Jaeger, Notary, TUF, Vitess, CoreDNS, NATS, and Linkerd as the community gathers for three days to further the education and advancement of cloud native computing.

Event Details

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