Originally created at U.C. Berkeley’s AMPLab in 2009, Apache Spark is a “lightning-fast unified analytics engine” designed for large-scale data processing. It works with cluster computing platforms ...

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 data ...

Big data refers to datasets that are too large, complex, or fast-changing to be handled by traditional data processing tools. It is characterized by the four V's: Big data analytics plays a crucial ...

In this video from the 2015 HPC Advisory Council Switzerland Conference, DK Panda from Ohio State University presents: Accelerating Big Data Processing with Hadoop, Spark and Memcached. Apache Hadoop ...

The Apache Spark Big Data processing framework will account for more than a third of all Big Data spending by 2022, according to new research by Wikibon. Wikibon Big Data analyst George Gilbert’s ...

The advent of scalable analytics in the form of Hadoop and Spark seems to be moving to the end of the Technology Hype Cycle. A reasonable estimate would put the technology on the “slope of ...

Enterprise software development and open source big data analytics technologies have largely existed in separate worlds. This is especially true for developers in the Microsoft .NET ecosystem. The ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

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 ...

Microsoft is making what it claims is an “extensive commitment” to the Apache Spark Big Data processing engine, launching several new offerings out of preview and into general release. The move is the ...