apache-beam 
ScaleOut Software
AUGUST 5, 2020
And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.
ScaleOut Software
JUNE 29, 2018
Compare the digital twin model to standard, pipelined models for stream-processing, such as Apache Beam , which require the application to orchestrate the correlation of events by data source and manage each data source’s state information in unstructured attached storage – at the cost of both complexity and increased network overhead.
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ScaleOut Software
JUNE 29, 2018
Compare the digital twin model to standard, pipelined models for stream-processing, such as Apache Beam , which require the application to orchestrate the correlation of events by data source and manage each data source’s state information in unstructured attached storage – at the cost of both complexity and increased network overhead.
InfoQ
APRIL 15, 2024
At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning.
The Morning Paper
JULY 2, 2019
Today’s paper choice is authored by a collection of experts from the Apache Beam, Apache Calcite, and Apache Flink projects, outlining their experiences building SQL interfaces for streaming. At the sharp end, they are based on lessons learned working an Apache Flink, Beam, and Calcite. SIGMOD’19.
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