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Released last year in July, Apache Spark 2.0 was more than just an increase in its numerical notation from 1.x to 2.0: It was a monumental shift in ease of use, higher performance, and smarter ...

Apache Spark™’s ability to speed analytic applications by orders of magnitude, its versatility, and ease of use are quickly winning the market. With Spark’s appeal to developers, end users, and ...

The Hadoop processing engine Spark has risen to become one of the hottest big data technologies in a short amount of time. And while Spark has been a Top-Level Project at the Apache Software ...

Apache Ignite™ and GridGain® provide the most extensive in-memory data management and acceleration for Spark. Ignite is an open source in-memory computing platform that provides an in-memory data grid ...

For data scientists looking to apply Apache Spark’s advanced analytics techniques and deep learning models at scale, Databricks is happy to provide The Data Scientist's Guide to Apache Spark. Download ...

The open source project .NET for Apache Spark has debuted in version 1.0, finally vaulting the C# and F# programming languages into Big Data first-class citizenship. Spearheaded by Microsoft and the ...

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 ...

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