But Spark is not without bugs, and that’s why we need the community. The community keeps patching bugs that they find. And sometimes new bugs creep in. So it’s still a very fast development project ...

Built for speed, Apache Spark may outcompete Apache Hadoop by nearly 100 times the speed. However, this is because Apache Spark is an order of magnitude simpler and more lightweight.

The Hadoop processing engine Spark has risen to become one of the hottest big data technologies in a short amount of time. And while Spark has been a Top-Level Project at the Apache Software ...

Apache Spark 2.0 is now generally available on the Databricks data platform. The company touts five to 10x performance increases over Spark 1.6 and new support for continuous applications with ...

This Apache Software Foundation project uses machine intelligence to probe, alert, and report back on behaviors of Hadoop users and clusters Apache Eagle, originally developed at eBay, then ...

For now, Pentaho Data Integration for Apache Spark is available in Pentaho Labs. Pentaho plans to make it generally available in June 2015. Follow Thor on Google+. ... usage and data secure.

A year ago, Microsoft enabled .NET developers to work with Apache Spark using C# or F#, instead of Python or Scala. More functionality and performance enhancements have since been layered on. The ...

SPARK 2014 is used for embedded applications, while Apache SPARK is designed for very large clusters. Here is a quick overview of each just in case you need more details. SPARK 2014 ...

Users can now map their Spark data frame into a Hugging Face dataset for integration into training pipelines. With this feature, Databricks and Hugging Face aim to simplify the process of creating ...