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” ...

Apache Spark rose to fame as an in-memory data processing framework frequently used with Hadoop, but it’s fast transforming into a nucleus for building other data-processing products. Newly released, ...

MemSQL, a leader in real-time databases for transactions and analytics, today announced significant advances for creating real-time data pipelines for Apache Spark, as well as support for the Python ...

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 ...

AMPLab, the UC Berkeley research unit famous for creating the wildly popular Apache Spark technology, has now developed an adjunct open source project that uses data compression for faster queries.

Any doubts about the skyrocketing rise of Apache Spark technology in the Big Data ecosystem were put to rest at a recent conference, where it almost stole the show. Big Data vendors large and small ...