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GAE Journal Authors: Roger Strukhoff, Newswire, Shelly Palmer, Yeshim Deniz, Louis Nauges

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‘Google Cloud Dataflow’ is an Awesome New Big Data Pipeline

Google I/O

Google made a big contribution to the big data world 10 years ago, when it released a paper on MapReduce, a programming model for doing big computing jobs on hefty data sets. But it turns out that, all this time, Google has been working on something far more advanced. At Google’s annual I/O shindig on Wednesday, the tech giant announced a service that can do much, much more than MapReduce: Google Cloud Dataflow. It can either run a series of computing jobs, batch-style, or do constant work as data flows in. Engineers can start using the service in Google’s burgeoning public cloud. Google takes care of managing the thing. “We handle all the infrastructure and the back-end work required to scale up and scale down, depending on the kind of data needs that you have,” Brian Goldfarb, head of marketing for the Google Cloud Platform, told VentureBeat ahead of Google I/O.

Read the full story at Venture Beat.

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More Stories By Shelly Palmer

Shelly Palmer is the host of Fox Television’s "Shelly Palmer Digital Living" television show about living and working in a digital world. He is Fox 5′s (WNYW-TV New York) Tech Expert and the host of United Stations Radio Network’s, MediaBytes, a daily syndicated radio report that features insightful commentary and a unique insiders take on the biggest stories in technology, media, and entertainment.