Confluent chief Jay Kreps says compliance can be challenging and lead to scrutiny of data movements. “Streaming technology enables the real-time synchronization of data, connecting all these disparate sources. An apt analogy is that of a central nervous system. The capability to unify data streams from different organizational segments empowers better decision making and the creation of personalized customer experiences,” he said.

Jay Kreps talks about the open source data store Project Voldemort. Voldemort is a distributed key-value store used by LinkedIn and other high-traffic web sites to overcome the inherent scalability limitations of a relational database. The conversation delves into the workings of a Voldemort cluster, the type of consistency guarantees that can be made in a distributed database, and the tradeoff between client and the server.

Jay Kreps, CEO of Confluent, talks with Robert Blumen about how an enterprise integration architecture organized around a Kafka event log simplifies integration and enables rich forms of data sharing. #podcast #seradio #ieeecs #ComputerSociety

Jay Kreps, CEO and Co-founder of Confluent discusses ksqlDB which is a database built specifically for stream processing applications to query streaming events in Kafka with SQL like interface.