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 ...

Enterprises can collect, classify, reduce and analyze edge/streaming data to derive real-time insights in Microsoft Azure deployments.

The race is on to process high volumes of data at a rapid pace to future-proof and stay ahead of competitors. Holger Temme of Confluent makes the case for stream processing, with some industry ...

Lambda architecture has been a popular solution that combines batch and stream processing. Kartik Paramasivam at LinkedIn wrote about how his team addressed stream processing and Lambda ...

Developers working with these data sources need to think about the architecture to capture real time streaming data at varying scales and complexities.

DataFabric digital twin models create a stateful, distributed data map for real-time processing, analytics, learning and prediction, providing a streaming framework and full integration with Azure ...

Goldsky created a platform for the real-time processing of blockchain data. The platform allows clients to extract data from blockchains into their own databases to support product features, but ...

RisingWave Labs, a company building a platform for streaming data processing, today announced that it raised 36 million in venture funding.

This Lambda architecture, as it would later become known, would combine a speed layer (consisting of Storm or a similar stream processing engine), a batch layer (MapReduce on Hadoop), and a server ...

It is easy to come out of a presentation on “big data” these days thinking that the future of manufacturing information technology (IT) is a combination of three things: connected machines, data ...