Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...

What I'd like to cover here goes beyond those AI headlines, however, and involves a special nugget just for folks doing data engineering, analytics and machine learning work with Apache Spark.

Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...

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New tools to help increase developer productivity and simplify app development for intelligent cloud and edge, across devices, platforms or data sources NEW YORK — Nov. 15, 2017 — Wednesday at Connect ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...