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Google/ASF Tackle Big Computing Trade-Offs with Apache Beam 2.0

Trade-offs are a part of life, in personal matters as well as in computers. You typically cannot have something built quickly, built inexpensively, and built well. Pick two, as your grandfather would tell you. But appare Read more…

Flink Aims to Simplify Stream Processing

Apache Flink has emerged as a powerful framework for building real-time stream processing applications that has gained traction by some of the most progressive tech companies in the world, including at Netflix, Uber, and Read more…

Streaming Analytics Picks Up Where Hadoop Lakes Leave Off

If phase one of the big data boom was store as much data as your lake will hold, phase two will be about extracting information from the data as quickly as you can. For many organizations, that means using streaming anal Read more…

Google Lauds Outside Influence on Apache Beam

Apache Beam started life as a decidedly Google-ish technology designed to mask the complexity inherent in building sophisticated analytic pipelines that run across distributed systems. But over the course of becoming a t Read more…

Flink Distro Now Available from data Artisans

The company behind Apache Flink, data Artisans, today launched the first commercial distribution of the upstart stream processing engine. The new software product, called the dA Platform, is identical to the open source Read more…

Flink: Worth a Second Look

The big data ecosphere has evolved to the point where there are clear technology leaders. In the category of SQL engines that run on Hadoop, Hive and Spark are clearly the dominant products among open source developers. Read more…

Apache Flink Gears Up for Emerging Stream Processing Paradigm

We're close to the next release of Apache Flink, the stream processing engine developed by the Apache Software Foundation. Flink version 1.1.0 will bring new SQL interface for working with streaming data, while bigger ch Read more…

Merging Batch and Stream Processing in a Post Lambda World

It wasn't long ago that developers looked to the Lamba architecture for hints on how to design big data applications that needed elements of both batch and streaming data. But already, the Lamba architecture is falling o Read more…

Apache Beam’s Ambitious Goal: Unify Big Data Development

If you're tired of using multiple technologies to accomplish various big data tasks, you may want to consider Apache Beam, a new distributed processing tool from Google that's now incubating at the ASF. One of the cha Read more…

Apache Flink Creators Get $6M to Simplify Stream Processing

Real-time stream processing is one of the hottest topics this week at Strata + Hadoop World, and one of the new frameworks turning heads is Apache Flink. Developed by the German company data Artisans, Flink is unique in Read more…

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