October 18, 2019

168 words 1 min read

What's next for BDAS (the Berkeley Data Analytics Stack)?

What's next for BDAS (the Berkeley Data Analytics Stack)?

Michael Franklin offers an overview of the Berkeley Data Analytics Stack, outlines the current directions it's taking, and settles once and for all how BDAS should be pronounced.

Talk Title What's next for BDAS (the Berkeley Data Analytics Stack)?
Speakers Michael Franklin (AMPLab/UC Berkeley)
Conference Strata + Hadoop World
Conf Tag Big Data Expo
Location San Jose, California
Date March 29-31, 2016
URL Talk Page
Slides
Video Talk Video

The Algorithms, Machines, and People Laboratory (AMPLab) at UC Berkeley has developed open source software that is driving innovation in the big data industry; components of the comprehensive Berkeley Data Analytics Stack (BDAS)—which includes Apache Spark, Tachyon, MLlib, and GraphX—are used widely in industry and research. Recently, the AMPLab has been pushing the stack in new directions, including end-to-end support for machine-learning pipelines, low-latency model serving, and human-in-the-loop processing, among others. Michael Franklin offers an overview of the Berkeley Data Analytics Stack, outlines the current directions it’s taking, and settles once and for all how BDAS should be pronounced.

comments powered by Disqus