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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.

プレゼンター

Tim Berglund

Tim Berglund は、StarTree の開発者広報部門のリーダーとして、さらには教師や作家としても活躍しています。米国や世界中のさまざまな会議で頻繁に講演者を務め、O'Reilly トレーニングビデオの共同プレゼンターとして Git から分散型システムまで多彩なテーマをカバーするほか、『Gradle Beyond the Basics』の著者でもあります。ツイート (@tlberglund) やブログ投稿 (http://timberglund.com) に加え、ポッドキャスト (http://devrelrad.io) の共同ホストとしても発信しており、米国コロラド州リトルトンに長年連れ添った妻と末子と共に暮らしています（他の2人の子供はほぼ成人に近い年齢）。

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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