Spark SQL, part of Apache Spark, is used for structured data processing by running SQL queries on Spark data. Srini Penchikala discusses Spark SQL module & how it simplifies data analytics using SQL.

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 ...

When combined with the RAPIDS Accelerator for Apache Spark, Spark can now accelerate SQL and DataFrame data processing on GPUs without code changes.

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Apache Spark 3.0 is now here, and it’s bringing a host of enhancements across its diverse range of capabilities. The headliner is an big bump in performance for the SQL engine and better coverage of ...

And Apache Spark, which largely eclipsed Hadoop as the open source analytics poster child, has made its way into numerous Microsoft platforms, including its flagship SQL Server database and Azure ...

Reactive programming company Typesafe today released a survey that confirms the high adoption rate of Apache Spark, an open source Big Data processing framework that improves traditional Hadoop-based ...

It’s been about three years since Apache Spark burst onto the big data scene and became one of the hottest technologies on the planet. Judging by the numbers surrounding Spark’s adoption—including ...

Another feature sported by Spark, Spark SQL, which is only in alpha at the moment, allows SQL-like queries to be run against data stored in Apache Hive. Extracting data from Hadoop via SQL queries ...

Apache Spark, the extremely popular data analytics execution engine, was initially released in 2012. It wasn’t until 2015 that Spark really saw an uptick in support, but by November 2015, Spark ...