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 ...

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 ...

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.

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.

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 ...

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 ...

Once processed, the data is sent to an application, data store or another stream processing engine. Stream processing services and architectures are growing in popularity because they allow ...

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 ...

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