Architecting Microservices Applications with Instant Analytics

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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 BerglundVP of Developer Relations

Tim ist VP of Developer Relations bei Confluent. Gemeinsam mit seinem Team arbeitet er daran, Streaming-Daten und das darauf basierende Toolset allen Entwicklern zugänglich zu machen. Tim ist regelmäßig als Referent auf Konferenzen anzutreffen und zudem auf YouTube aktiv, wo er komplexe Technologiethemen auf verständliche Weise erklärt. Er lebt mit seiner Frau und seiner Stieftochter in Mountain View, CA, USA. Er hat drei erwachsene Kinder, drei Stiefkinder und vier Enkelkinder.

Rachel PedreschiWorldwide 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.