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 ...

.NET for Apache Spark brings enterprise coders and big data pros to the same table A year ago, Microsoft enabled .NET developers to work with Apache Spark using C# or F#, instead of Python or Scala.

Apache Spark stole the show at the Big Data TechCon in Boston this week. Thanks to a keynote address from Spark’s creator, and a number of tutorials focused on the project, attendees had plenty ...

Apache Hadoop and Spark are gaining prominence in handling Big Data and analytics. Similarly, Memcached in Web 2.0 environment is becoming important for large-scale query processing. These middleware ...

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 ...

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 ...

For example, they are used in other big data ecosystem projects, such as Tez, Drill, and Presto for scheduling. DAGs are fundamental to Spark, so it is worth being familiar with the concept.

Apache Spark with Java 8 is proving to be the perfect match for Big Data. Spark 1.0 was just released this May, and it’s already surpassed Hadoop in popularity on the Web. Java 8, the latest version, ...

Microsoft today announced that it is making a serious commitment to the open source Apache Spark cluster computing framework. After dipping its toes into the Spark ecosystem last year, the company ...

Indeed, the recent merger of the two “big” Hadoop companies (Cloudera and Hortonworks) indicates the market is maturing and adjusting to the tail of the hype cycle. To be clear, Hadoop and Spark are ...