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 data ...

A Spark application contains several components, all of which exist whether you’re running Spark on a single machine or across a cluster of hundreds or thousands of nodes. Each component has a ...

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 ...

On and off, over the years, I have followed and written about the SQL-on-Hadoop saga. The adventure started with Apache Hive, which originally provided a SQL layer on top of MapReduce, bringing new ...

Redis Labs Inc. today announced the integration of its namesake NoSQL database with Spark SQL, along with a new Spark-Redis connector said to speed up certain Big Data analytics tasks by 100 times or ...