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 ...

Apache Spark has released version 1.3 of their project. The main improvements are the addition of the DataFrames API, better maturity of the Spark SQL, as well as a number of new methods added to ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...