Apache Spark 3.0 is now here, and it’s bringing a host of enhancements across its diverse range of capabilities. The headliner is an big bump in performance for the SQL engine and better coverage of ...

The June update to Apache Spark brought support for R, a significant enhancement that opens the big data platform to a large audience of new potential users. Support for R in Spark 1.4 also gives ...

Since then, its adoption by big data companies has been on the rise at an eye-catching rate. ... On the other hand, Java hasn’t achieved the kind of success Python enjoys on Spark.

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 had more than 465 contributors in 2014, making it the most active project in the Apache Software Foundation and among big data open source projects globally. TechCrunch Desktop Logo ...

Spark has generated huge excitement in the big data community. It has provided the path for making the speed or velocity layer of big data reality, simplified some of the gotchas of MapReduce, and ...

Apache Spark is arguably the hottest big data technology of the year — or maybe ever. More than 1000 enthusiasts have committed code to the open source project and almost every big data provider ...

Python has become the default language of solving complex data problems due to its ease of use, plethora of domain-specific software libraries, and stellar community and ecosystem. All of these things ...

When it comes to analyzing big data, software packages such as Hadoop or the R statistical language come readily to mind. But at least one company, AppNexus, also relies on the Python programming ...

“Python is a very easy language to learn for non-programmers,” said Peter Wang, president of Continuum Analytics. That’s important because most big-data analysts will probably not be ...