Spark's new DataFrame API is inspired by data frames in R and Python (Pandas), but designed from the ground up to support modern big data and data science applications.
How does OpenStack differ from other large, popular open source projects and how do these differences affect the way the project is growing and maturing?
Initially, Hadoop implementation required skilled teams of engineers and data scientists, making Hadoop too costly and cumbersome for many organizations. Now, thanks to a number of open source projects, big data analytics with Hadoop has become much more affordable and mainstream. Here's a look at... Read more
The Opensource.com Weekly Top 5: the best and brightest burning star articles from this week: January 26 - 30
How Databricks set a new world record for sorting 100 terabytes (TB) of data, or 1 trillion 100-bytes, in 23 minutes with open source software Apache Spark and public cloud infrastructure EC2.
Annual list of top 10 open source projects covered on Opensource.com in 2014. From cloud computing to containers to project management, this year's showing in open source has been phenomenal.
From the Apache Quill series: A lightning talk recap about how the Apache Foundation has always done things a certain way at ApacheCon Budapest by Rich Bowen.
2014 has been a record year for Opensource.com. And, we couldn't have done it without you: our readers, writers, community moderators, editors, sharers, and supporters. Thank you. Thanks for making Opensource.com a vibrant community full of amazing stories. We, the open source community, have a... Read more
Introduction to Apache Hadoop, an open source software framework for storage and large scale processing of data-sets on clusters of commodity hardware.
Twitter has shifted its way of thinking about how to launch a new service thanks to the Apache Mesos project, an open source technology that brings together multiple servers into a shared pool of resources. It's an operating system for the data center. "When is the last time you've seen the fail... Read more