One of the newest (and perhaps most talked about) entrants to the big data landscape is Apache Spark, a tool that many view as a more powerful and accessible alternative to Hadoop. Others recognise ...

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 has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming ...

Cloudera on how the execution engine Apache Spark broadens what companies can do with the big data framework Hadoop.

Apache Spark speeds up big data processing by a factor of 10 to 100 and simplifies app development to such a degree that developers call it a "game changer." ...

SPARK 2014 is a programming environment based on the Ada programming language. Apache’s open-source SPARK project is an advanced, Directed Acyclic Graph (DAG) execution engine.

Get the source code for the example applications demonstrated in this article: “Aggregating with Apache Spark.” Created by Ravishankar Nair for JavaWorld.

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

Databricks, the primary commercial steward behind the popular open source Apache Spark project, published a new report indicating the technology is still red-hot, driven by more use of SQL, streaming ...