Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't ...

Create a reusable, framework-agnostic connector library for Apache Iggy that provides core abstractions for integrating with stream processing engines (Apache Flink, Apache Spark, Apache Beam, etc.).

Abstract: The real time stream processing engines are developed for different specific use cases, which incorporates various domains such as, IOT, finance, advertisement, telecommunications, ...

Data lake vendor Onehouse on Thursday released Open Engines, a new capability on its platform which it says provides the ability to deploy open source engines on top of open data. Available in private ...

Data lake provider Hydrolix Inc. today announced that it has raised $80 million in funding to finance growth initiatives. QED led the investment. It was joined by a dozen other backers, including ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

The combination of Apache Kafka® and Apache Flink provides a powerful solution for building real-time stream processing applications [1]. Kafka, as a high-throughput, low-latency distributed message ...

In a world driven by instant access to information, businesses must process and analyze data in real time to maintain a competitive edge. The days of relying solely on batch processing—handling data ...

Abstract: Edge applications generate a large influx of sensor data on massive scales, and these massive data streams must be processed shortly to derive actionable intelligence. However, traditional ...