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

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 ...

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 ...

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

RisingWave Labs, a company developing a platform for data stream processing, today announced that it raised $36 million in a Series A funding round led by Yunqi Partners, undisclosed corporate ...

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

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 ...

Data streaming vendor Confluent has also revealed its cloud-native Flink service, with the aim of making it easier to build applications with stream processing.

In addition, the ScaleOut Digital Twin Streaming Service provides real-time data aggregation, continuous query, and real-time visualization for Azure digital twin properties.

Streaming frameworks can democratize and truly unleash the big data potential for all those willing to harness it. Here's how to join the club of "industry 4.0" advocates.