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 ...

.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.

Ian Pointer is a senior big data and deep learning architect, working with Apache Spark and PyTorch. He has more than 15 years of development and operations experience.

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 ...

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 ...

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 ...

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 several years big data has been nearly synonymous with Hadoop, a relatively inexpensive way to store huge amounts of data on commodity servers. But recently banks have started using an alternative ...

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 ...