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Online Talk

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 es el vicepresidente de Developer Relations en Confluent, un departamento desde el que, tanto él como su equipo, trabajan para que los datos de streaming y su emergente conjunto de herramientas sean accesibles para todos los desarrolladores. Puedes encontrar a Tim como ponente habitual en distintas conferencias o en YouTube, donde desarrolla temas tecnológicos complejos de una forma más accesible. Vive con su mujer y su hijastra en Mountain View, California, Estados Unidos. Tiene tres hijos adultos, tres hijastros y cuatro nietos.

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.