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 ...

Apache Beam, a unified programming model for both batch and streaming data, has graduated from the Apache Incubator to become a top-level Apache project. Aside from becoming another full-fledged ...

The Essential Distinctions Between Stream Processing and Batch Processing. At their core, stream processing and batch processing differ in two critical aspects: the driving mechanism of computation ...

International Data Corp. has forecast that the stream processing market will grow at a compound annual growth rate of 21.5% through 2028, driven by increased data velocity, real-time analytics and ...

It wasn’t long ago that developers looked to the Lamba architecture for hints on how to design big data applications that needed elements of both batch and streaming data. But already, the Lamba ...

To create consistent, complete and relevant streaming data messaging, organizations should follow nine critical steps to ensure data integrity throughout the life cycle of streaming data. 1.

Confluent, Inc., the data streaming pioneer, is introducing new Confluent Cloud capabilities that make it easier to process and secure data for faster insights and decision-making. Confluent Combines ...

On Confluent Cloud for Apache Flink ®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data. New private networking and security ...

New York-based Estuary is setting out to solve this problem with a “data operations platform” that combines the benefits of “batch” and “stream” data processing pipelines. “There’s ...