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 ...

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

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

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 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 ...

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, ...

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

It was also back in 2018, for that year’s Wrapped, that Spotify ran the largest Google Cloud Dataflow job ever run on the platform, a service the company started experimenting with a few years ...

Google is making its first major open-source move of the year by offering up its Dataflow technology to the Apache Software Foundation (ASF) as an incubator project.

In the latest of a string of cloud upgrades, Google on Thursday revealed automated data-processing features that the company hopes will encourage users to adopt its cloud for their big data and ...