Apache Beam in 2017: Use Cases, Progress and Continued Innovation

This blog was originally published by Anand Iyer & Jean-Baptiste Onofré [@jbonofre] on the Apache Beam blog READ ARTICLE

The Future of Apache Beam, Now a Top-Level Apache Software Foundation Project

Our journey to this day started 10 months ago, and what an exciting road it has been. In February 2016, Google, Talend, Cloudera, dataArtisans, PayPal and Slack joined efforts to propose Apache Beam (see “Introduction to Apache Beam”) to the Apache Incubator, the entry path into The Apache Software Foundation (AS READ ARTICLE

Introduction to Apache Beam

This blog is the first in a series of posts explaining the overarching goal and purpose of the Apache Beam project. In the future blogs, we will explain how to use Apache Beam to implement data processing jobs.  When you have an existing big data platform, the continuous evolution of that platform is important. If you’re currently using Apache Hadoop MapReduce jobs to process your data, you may want to migrate to Apache Spark in ord READ ARTICLE