Google introduced Cloud Dataflow about a year ago as a next-gen platform for building systems that can ingest, transform, normalize, and analyze huge amounts of data—well into the exabyte range, ...

Google on Wednesday launched Cloud Dataflow, a big data analytics service to crunch information in either streaming or batch mode. The announcement, made at Google's I/O keynote in San Francisco ...

Google expanded its Cloud Platform today with a new managed service called Cloud Dataflow that creates data pipelines that can ingest, transform and analyze data. Developers can use the service to ...

Significantly, Google Cloud Dataflow is meant to replace MapReduce, the software at the heart of Hadoop and other big data processing systems. MapReduce was originally developed by Google and ...

Google released a beta of its Cloud Dataflow tool for simplifying the creation of big data analytics apps and enhanced the Google Cloud Platform.

Cloud Dataflow fills a major puzzle piece in Google's rapidly evolving and growing cloud stack as the Internet giant continues to challenge Amazon Web Services.

Dataflow is based on several earlier Google projects, including its FlumeJava data-pipeline tool and MillWheel stream-processing technology.

Google is launching a couple of updates to its cloud-based big data products at the Hadoop Summit in Brussels today. These include the launch of the open beta of Cloud Dataflow, Google's new ...

Google announced earlier this year their Cloud Dataflow, a service and SDK for processing large amounts of data in batches or real time. Now they have open sourced the Dataflow Java SDK, enabling ...

In a simple batch processing test, Google Cloud Dataflow beat Apache Spark by a factor of two or more, depending on cluster size ...