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Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

The days of monolithic Apache Spark applications that are difficult to upgrade are numbered, as the popular data processing framework is undergoing an important architectural shift that will utilize ...

Traditional relational databases have been highly effective at handling large sets of structured data. That’s because structured data conforms nicely to a fixed schema model of neat columns and rows ...

After an absence of about a year, and a stint as Research Director at the now defunct Gigaom Research, I've returned to ZDNet to cover Big Data. The year went by pretty quickly, but a number of things ...

The folks behind Apache Spark today unveiled Project Hydrogen, a new endeavor that aims to eliminate barriers preventing organizations from using Spark with deep learning frameworks like TensorFlow ...

Apache Spark, the extremely popular data analytics execution engine, was initially released in 2012. It wasn’t until 2015 that Spark really saw an uptick in support, but by November 2015, Spark saw 50 ...