Google Cloud Dataflow crunched data two to five times faster than Apache Spark in a benchmark test of batch analytics performed by Mammoth Data. While Dataflow’s raw power is impressive, don’t throw ...

Hortonworks announced plans to acquire Onyara and use its NSA-built Apache NiFi technology to fuel a new DataFlow offering.

When done right, these new domain-specific dataflow-as-workflow applications have the potential to capture a larger market share than reporting, analytics and traditional workflow applications ...

In Part 2 of this three-part series on dataflow programming with the Task Parallel Library, Eric Vogel shows you how to create a Windows 8 application that uses a composite parallel data flow.

The new "runner" will let developers target Dataflow pipeline for execution in a Spark cluster, Cloudera said.

Simulating Hardware with C Speed and RTL Accuracy for High-Level Synthesis Designs” was published by researchers at Georgia Institute of Technology. Abstract “High-Level Synthesis (HLS) is ...

Google also says that Dataflow was optimized to run on n1-standard-1 instances and to scale across more instances, and moreover, suggested that Dataflow batch mode has an auto-scaling mechanism that ...

At QCon San Francisco 2016, Frances Perry and Tyler Akidau presented “Fundamentals of Stream Processing with Apache Beam”, and discussed Google's Dataflow model and associated implementation ...

Jörg Lotze from Xcelerit writes that the dataflow model can be hugely beneficial to high performance computing. When asked to describe a data processing - Read more from Inside HPC & AI News.

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 ...