Spark SQL, part of Apache Spark big data framework, is used for structured data processing and allows running SQL like queries on Spark data. In this article, Srini Penchikala discusses Spark SQL ...

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 ...

At the recent Spark AI Summit 2020, held online for the first time, the highlights of the event were innovations to improve Apache Spark 3.0 performance, including optimizations for Spark SQL, and ...

For data engineers looking to leverage Apache Spark™'s immense growth to build faster and more reliable data pipelines, Databricks is happy to provide The Data Engineer's Guide to Apache Spark. This ...

Both HANA and Spark can speak SQL, but with Vora SAP is not only making Spark speak a better and richer dialect of SQL – one that has support for the data hierarchies that are required for online ...

A year later, with Spark 2.0, Zaharia and the Spark community added the concept of Datasets, which is a type-safe object-oriented programming interface based on DataFrames. (The RDD API has been ...

Now in public preview, Snowpark Connect promises to reduce latency and complexity by moving analytics workloads where the data is. Snowflake is preparing to run Apache Spark analytics workloads ...

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But there is more! SQL Server 2019 will come with built-in support for Spark and the Hadoop File System. That’s an acknowledgement of the popularity of these open-source tools, as well as the ...