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Cloud Dataflow with Eric Anderson
Cloud Dataflow with Eric Anderson
ratings:
Length:
61 minutes
Released:
Sep 16, 2016
Format:
Podcast episode
Description
Batch and stream processing systems have been evolving for the past decade. From MapReduce to Apache Storm to Dataflow, the best practices for large volume data processing have become more sophisticated as the industry and open source communities have iterated on them. Dataflow and Apache Beam are projects that present a unified batch and
The post Cloud Dataflow with Eric Anderson appeared first on Software Engineering Daily.
The post Cloud Dataflow with Eric Anderson appeared first on Software Engineering Daily.
Released:
Sep 16, 2016
Format:
Podcast episode
Titles in the series (100)
Taming Distributed Architecture with Caitie McCaffrey: Distributed systems programming will always be a world of tradeoffs -- there is no silver bullet in the future. But life can be made easier with tactics such as the actor pattern and the use of conflict-free replicated data types (CRDTs). - by Cloud Engineering Archives - Software Engineering Daily