The next generation architecture for exploring and visualizing event-driven data in real-time requires the right technology. Microservices deliver significant deployment and development agility, but raise questions of how data will move between services and how it will be analyzed. This online talk explores how Apache Druid and Apache Kafka® can turn a microservices ecosystem into a distributed real-time application with instant analytics. Apache Kafka and Druid form the backbone of an architecture that meet the demands imposed on the next generation applications you are building right now.
Join industry experts Tim Berglund, Confluent, and Rachel Pedreschi, Imply, as they discuss architecting microservices apps with Druid and Apache Kafka.
Tim Berglund, Senior Director, Developer Experience, Confluent
Tim Berglund 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. He tweets as @tlberglund, blogs very occasionally at http://timberglund.com (http://timberglund.com/), is the co-host of the http://devrelrad.io (http://devrelrad.io/) podcast, and lives in Littleton, CO, USA with the wife of his youth and their youngest child, the other two having mostly grown up.
Rachel Pedreschi, Worldwide Director of Field Engineering, Imply Data
Rachel is the Worldwide Director of Field Engineering at Imply. A “Big Data Geek-ette,” Rachel is no stranger to the world of high-performance databases and data warehouses. She is a Cassandra, Vertica, Informix and Redbrick certified DBA on top of her work with Druid and has more than 20 years of business intelligence and ETL tool experience. Rachel has an MBA from San Francisco State University and a BA in Mathematics from University of California, Santa Cruz.