Home →
Data Management →
Apache Arrow to Accelerate Open Source Big Data Analytics
- On Way to Omni-Channel, Retailers Try Beacons and More
- Chief Data Officer Role Continues to Evolve
- What Is Sales Enablement Software and Do You Need It?
- 5 Ways to Use Virtual Reality in the Enterprise
- 8 Open Source BPM Software Options
- How HTAP Database Technology Can Help You
- 9 Apps Empowering Finance
Apache debuts top level open source Big Data analytics project that could make data analytics processing a hundred times faster.
The Apache Software Foundation is rolling out a new top level project this week, and it's one that didn't first have to undergo the typical project incubation phase. Apache Arrow, an effort to build columnar in-memory analytics technology that could dramatically accelerate Big Data analytics, is launching with support from 13 major open source Big Data projects.
In a podcast interview with Enterprise Apps Today, Jacques Nadeau, vice president of Apache Arrow and vice president of Apache Drill, discusses the new open source Big Data analytics project and why it could change the face of data processing.
Sean Michael Kerner is a senior editor at Enterprise Apps Today and InternetNews.com. Follow him on Twitter @TechJournalist
.
This article was originally published on February 18, 2016
