Dataflow: streaming analyticsMaximize the potential of your real-time data. Dataflow is a fully managed streaming platform that is easy-to-use and scalable to help accelerate real-time decision making and customer experiences.
Apache Beam Capability Matrix
Beam Capability MatrixApache Beam provides a portable API layer for building sophisticated data-parallel processing pipelines that may be executed across a diversity of execution engines, or runners. The core concepts of this layer are based upon the Beam Model (formerly referred to as the Dataflow Model), and implemented to varying degrees in each Beam runner. To help clarify the capabilities of
Streaming 101: The world beyond batch
Editor's note: This is the first post in a two-part series about the evolution of data processing, with a focus on streaming systems, unbounded data sets, and the future of big data. See part two. Also, check out "Streaming Systems," by Tyler Akidau, Slava Chernyak, and Reuven Lax. Check out the resource centers on O'Reilly online learning for more ways to expand your skillset. Streaming data proc
Programming model for Apache Beam | Cloud Dataflow | Google Cloud
Stay organized with collections Save and categorize content based on your preferences. Dataflow is based on the open-source Apache Beam project. This document describes the Apache Beam programming model. Overview Apache Beam is an open source, unified model for defining both batch and streaming pipelines. The Apache Beam programming model simplifies the mechanics of large-scale data processing. Us
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Managing streaming pipelines in Google Cloud Dataflow just got better | Google Cloud Blog
