Dhruba Borthakur, CTO and co-founder of Rockset, discusses the core requirements of real-time analytics, how it differs from traditional analytics, and the use cases that benefit from it. Host Kanchan Shringi spoke with Dhruba about the evolution...
Yi Pan, lead maintainer of Apache Samza discusses the internals of the Samza project as well as the Stream Processing ecosystem. Host Adam Conrad spoke with Pan about the three core aspects of the Samza framework, how it compares to other streaming...
Jay Kreps, CEO and Co-Founder of Confluent discusses ksqlDB which is a SQL engine for data in Apache Kafka. Jay talks about stream processing, Kafka and how the data can now be queried with push/pull queries with ksqlDB, similar to a relational...
Stephen Ewen, one of the original creator of Apache Flink discusses streaming architecture. Streaming architecture has become more important because it enables real-time computation on big data. Edaena Salinas spoke with Stephen Ewen about the...
Venue: Internet Jeff Meyerson talks with Frances Perry about Apache Beam, a unified batch and stream processing model. Topics include a history of batch and stream processing, from MapReduce to the Lambda Architecture to the more recent Dataflow...
Venue: Internet Nathan Marz is the creator of Apache Storm, a real-time streaming application. Storm does for stream processing what Hadoop does for batch processing. The project began when Nathan was working on aggregating Twitter data using a...
Venue: Internet Jeff Meyerson talks to Jun Rao, a software engineer and researcher (formerly of LinkedIn). Jun has spent much of his time researching MapReduce, scalable databases, query processing, and other facets of the data warehouse. For the...