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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 Dataflow, ...

In a simple batch processing test, Google Cloud Dataflow beat Apache Spark by a factor of two or more, depending on cluster size On Tuesday, my company, Mammoth Data, released benchmarks on Google ...

Big Data consultancy Mammoth Data today published a benchmark study that shows Google's Cloud Dataflow service outperforms the extremely popular open source data processing engine, Apache Spark. Even ...

SANTA CLARA, Calif., August 16, 2021 — Cloudera, (NYSE: CLDR), the enterprise data cloud company, today announced the launch of Cloudera DataFlow for the Public Cloud, a cloud-native service for data ...

Google's new data processing service may look like it's designed to lure users away from Hadoop, but its focus is more selective But on closer look, Cloud Dataflow is better thought of as a way for ...

Announced last summer, in alpha in December, Google's Cloud Dataflow managed data-processing service is now publicly available as a beta, with what the company is describing as better elasticity and ...

Google expanded its Cloud Platform today with a new managed service called Cloud Dataflow that allows developer to create data pipelines to help them ingest, transform and — most importantly — analyze ...