Spark has evolved considerably since the early days. Few new applications today use the Resilient Distributed Dataset (RDD), which have largely been replaced by DataFrames. In concert with the shift ...

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 ...

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 ...

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 ...

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 ...