Why is Spark So Hot? The amount of data generated around the globe each day is 2.5 exabytes (Adepta, March 2015), and the big data market reached $27.4 billion in 2014 (Wikibon, March 2015). Spark is ...

Apache Spark is one of the quickest tools, which is apt for large data-scale processing. At times, it even considered as one the topmost data processing solution, which is even quicker than platforms ...

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 ...

Apache Spark is one of the most popular open source projects in the world, and has lowered the barrier of entry for processing and analyzing data at scale. We asked some of the leaders in the big data ...

Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Apache Spark has been called a game changer and perhaps ...

As well as access control, Databricks 2.0 now offers use of the popular R statistical programming language, support for multiple versions of Spark, and notebook versioning. Spark started in 2009 as a ...

Apache Spark is most often thought of as a faster replacement for MapReduce, the batch-oriented programming framework that enabled first-gen Hadoop to catch traction 10 years ago. Indeed, Spark was ...

Hadoop, the data processing framework that’s become a platform unto itself, is only as good as the components that plug into it. But the conventional MapReduce component for Hadoop has a reputation ...

The quest to replace Hadoop’s aging MapReduce is a bit like waiting for buses in Britain. You watch a really long time, then a bunch come along at once. We already have Tez and Spark in the mix, but ...