Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

Reduced Cost: Data streaming for business is already processed and analysed, they do not have to invest in warehousing or storage of data. Along with this, the costing for analysis is saved too. Also, ...

Unlocking the true promise of streaming data and maximizing your enterprise’s streaming intelligence is only possible with the right technologies in place.

Big data is a moving target, and it comes in waves: before the dust from each wave has settled, new waves in data processing paradigms rise. Streaming, aka real-time / unbounded data processing ...

Streaming is hot in big data, and Apache Flink is one of the key technologies in this space. What makes it different, what new features are included in its latest release, and what is its role in ...

Streaming data analytics, when performed with data generated continuously by multiple sources, is a powerful tool for understanding conditions in constant change.

Putting data in motion literally is what Confluent is all about. As the company behind the open source Apache Kafka project, streaming data is company’s raison d’etre. Data in motion is mostly good, ...

Streaming data — also called real-time data — is information that arrives continuously from various sources and is analyzed quickly so businesses can respond in near-real time to events on the ...

Richard Timperlake at Confluent explores how data streaming is set to become a must-have for businesses, transforming how they operate and stay competitive 2024 was an impressive year for technology’s ...

In this first installment of a three-part series on data streaming, Apache Kafka, and data analytics, we will dive into fully explaining data transaction streaming and the technologies that make it ...