The Spark SQL module was introduced to reduce those limitations, and while the addition of SQL capabilities expanded what Spark can do, the performance still came up short by “an order of magnitude” ...

Here’s an image for you. There is no such thing as a data lake. The multi-petabyte storage racks nearly overflowing with unstructured and semi-structured data that are being built by hyperscalers, ...

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“Tableau's goal is always to make connecting to data as simple and fast as possible and a big part of that is offering direct connectivity to a wide variety of data sources,” said Dan Jewett, Vice ...

The same team that created GemFire builds on Spark in a new open source database that can analyze OLTP and OLAP workloads side-by-side The team behind Pivotal’s GemFire in-memory transactional data ...

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 ...

Neo4j, a leader in connected data, announced that it has released the preview version of Cypher for Apache Spark (CAPS) language toolkit. This combination allows big data analysts to incorporate ...

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 ...