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Online Talk

Architecting Microservices Applications with Instant Analytics

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.

Moderatoren

Tim Berglund

Tim Berglund ist Lehrer, Autor und Developer Relations Leader bei StarTree. Er referiert häufig auf Konferenzen in den Vereinigten Staaten und auf der ganzen Welt. Er ist Co-Moderator verschiedener O'Reilly-Schulungsvideos zu Themen von Git bis hin zu verteilten Systemen und Autor von „Gradle Beyond the Basics“. Er twittert als @tlberglund, bloggt gelegentlich unter http://timberglund.com, ist Co-Moderator des http://devrelrad.io Podcasts und lebt in Littleton, Colorado, USA, mit seiner Jugendliebe und ihrem jüngsten Kind, während ihre beiden anderen Kinder inzwischen fast erwachsen sind.

Rachel Pedreschi

Worldwide Director of Field Engineering

Rachel Pedreschi is the Field Engineering Director at Imply Data. A "Big Data Geek-ette," Rachel is no stranger to the world of big data, fast data, and everything in between. She is a Vertica-, Informix-, and Redbrick-certified DBA on top of her work with Apache Cassandra, Apache Ignite, and Apache Druid. She has more than 20 years of high-performance database experience. Rachel has an MBA from San Francisco State University and a BA in Mathematics from University of California, Santa Cruz.

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