Data stream processing is defined as a system performing transformations for creating analytics on data inside a stream. In Part 1 of this series, we defined data streaming to provide an understanding ...

Data transaction streaming is managed through many platforms, with one of the most common being Apache Kafka. In our first article in this data streaming series, we delved into the definition of data ...

Confluent, Inc.'s user markets for data streaming have a long runway ahead. Open source Apache Kafka is ubiquitously used for data streaming. Confluent's wheelhouse is scalable data streaming and ...

When Confluent launched a cloud service in 2017, it was trying to reduce some of the complexity related to running a Kafka streaming data application. Today, it introduced a free tier to that cloud ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Aiven, a cloud-data platform based in Helsinki, has fleshed out an ...

Streaming data platform Kafka uses a “publish-and-subscribe” model that links data sources to data receivers to enable constant and distributed monitoring. Written by eWEEK content and product ...

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Key Takeaways Build data integration and processing applications using Apache Kafka and KSQL for use cases like customer operations, operational dashboard, and ad-hoc analytics. Main benefits of ...

Real-time streaming data has become a reality for an increasing number of enterprise applications. From the “internet of things” to artificial intelligence, from mobile analytics to a diverse range of ...

Vectorized Inc., a new data management startup, today disclosed that it has raised $15.5 million across two funding rounds from Lightspeed Venture Partners and Alphabet Inc.’s GV fund. The startup’s ...