Google this morning removed the beta label from Google Cloud Dataflow. The company also introduced Google Cloud Pub/Sub, as well as integrations between these services and the Google BigQuery service.

Cloud Dataflow has since been pushed out as an alpha release as Google preps a managed service model for data processing. Urs Hölzle, senior vice president of Google Cloud Platform, noted at the ...

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 launches a service called Cloud Dataflow that aims to analyze pipelines with "arbitrarily large datasets." Written by Larry Dignan, Contributor June 25, 2014 at 11:44 a.m. PT ...

Google today formally took the wraps off Cloud Dataflow, the hosted offering designed to allow developers with average Java and Python skills to build sophisticated analytic “pipelines” that process ...

As Google Cloud Dataflow adds a feature, Spark will inevitably work to one-up it and the cycle will begin again. Some people may complain about the number of choices we have in engines and APIs, ...

Google today announced that it has teamed up with the Hadoop specialists at Cloudera to bring its Cloud Dataflow programming model to Apache’s Spark data processing engine. With Google Cloud ...