Learn how data fabrics — scalable data architectures that can handle all OT and IT data types, historize them and make the ...

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

Developers get one more platform for running Dataflow pipelines. They can now run their programs on the Apache Flink distributed processing engine.

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

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 ...

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 ...

With Cloudera DataFlow for the Public Cloud, customers can automate complex data flow operations, improve the operational efficiency of streaming data flows with auto-scaling capabilities, and ...

With Cloudera DataFlow for the Public Cloud, users can now automate complex data flow operations, boost the operational efficiency of streaming data flows with auto-scaling capabilities, and cut down ...

Data Flow is part of Qlik’s ongoing investment in simplifying analytics and bridging the gap between IT and business users. It brings Qlik Talend Cloud’s market-leading integration to Qlik Cloud ...