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 ...

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 ...

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 ...

In this article, we explored the powerful combination of Apache Spark and Jupyter for big data analytics on a Linux platform. By leveraging the speed and versatility of Spark with the interactive ...

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 ...

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, ...

.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.

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 ...

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 ...

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 ...

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 ...