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 ...

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 ...

Databricks, the commercial company created from the open source Apache Spark project, announced the release of a free Community Edition today aimed at teaching people how to use Spark — and as an ...

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You probably did not hear it here first. Spark has been making waves in big data for a while now, and 2017 has not disappointed anyone who has bet on its meteoric rise. That was a pretty safe bet ...

At its Data + AI Summit, Databricks today made the requisite number of announcements one would expect from a company’s flagship developer event. Among those are the launch of Delta Lake 2.0, the next ...

Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...