Nodes can run as SQL compute nodes, SQL storage nodes or HDFS data nodes. In the HDFS case, SQL Server and Apache Spark run co-located, in the same container. All of this interoperability is ...

PySpark development is now fully supported in Visual Studio Code. Through an extension built for the aforementioned purpose, users can run Spark jobs with SQL Server 2019 Big Data Clusters.

First, it is a high-speed caching layer that runs atop the Spark-HDFS combination, putting the appropriate data into memory. Second, Vora has an SQL interpreter layer that takes SQL queries submitted ...

Every cluster will include SQL Server, the Hadoop file system and Spark. As for the name, it’s worth noting that many pundits expected a “SQL Server 2018,” but Microsoft opted to skip a year ...

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 ...

Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning.

The Apache Spark community last week announced Spark 3.2, a significant new release of the distributed computing framework. Among the more exciting features are deeper support for the Python data ...