In this article, author Robin Moffatt shows how to use Apache Kafka and KSQL to build data integration and processing applications with the help of an e-commerce sample application.

Kafka has a nearly 39% market share in the fragmented queueing, messaging and background processing market, according to 6sense Insights Inc. It’s used by more than 80% of Fortune 100 companies.

As AI shifts from experimental phases to mission-critical roles—such as fraud detection, live recommendation engines, and ...

Event Stream Processing: How Banks Can Overcome SQL and NoSQL Related Obstacles with Apache Kafka 16 21 August 2020 1 comment Editorial ...

Stream processing engines (e.g. Apache Flink, Apache Storm, ksql) continuously process data streams and output another stream with the processing results or update a view over the data.

Real-time stream processing isn’t a new concept, but it’s experiencing renewed interest from organizations tasked with finding ways to quickly process large volumes of streaming data. Luckily for you, ...

With Panopticon Streams, users now able to create sophisticated Kafka data flows quickly and easily with no coding BEDFORD, Mass., Oct. 16, 2018 (GLOBE NEWSWIRE) -- Datawatch Corporation (NASDAQ ...

Confluent Inc. today announced plans to buy Immerok GmbH, a startup with a platform that makes it easier to develop stream processing applications. The terms of the deal were not disclosed ...