Event stream processing, also referred to as streaming analytics, involves analyzing vast amounts of current and “in-motion” data using continuous queries known as event streams.
These streams are triggered by specific events resulting from actions such as financial transactions, equipment failures, social media posts, website clicks, or other quantifiable activities. The data can originate from a variety of sources, including the Internet of Things (IoT), cloud applications, transactions, mobile devices, web interactions, and machine sensors. Streaming analytics platforms enable organizations to extract business value from data in motion, similar to how traditional analytics tools derive insights from data at rest.
DeltaStream is a unified serverless stream processing platform to manage, secure and process all your event streams and is based on Apache Flink.
Hojjat Jafarpour is the Founder and CEO at DeltaStream and he joins us today. Before joining DeltaStream, Hojjat was at Confluent, the company behind Apache Kafka, he built a product called ksqlDB, ksqlDB is a database built to do Stream processing on top of Apache Kafka.
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