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 ...

Before you begin your journey as an Apache Spark programmer, you should have a solid understanding of the Spark application architecture and how applications are executed on a Spark cluster. This ...

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 ...

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 ...

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 is hailed as being Hadoop's successor, claiming its throne as the hottest Big Data platform. What the founding fathers of Spark are saying and doing about its future and its ...

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 ...