Think BIG: An introduction to analyzing big data with Open Source tools.

Presented at Notacon 9 (2012), April 14, 2012, noon (180 minutes)

The words on many peoples' lips today are "Big Data," but what on earth does that really mean? If you've ever used Google, Facebook, or LinkedIn, you've seen big data in action. This presentation will explain the tools behind the buzz, with a specific focus on the Open Source Apache Hadoop and HBase projects. It will also providing both historical and technical context, and demonstrate some concrete use cases.

Participants will need to provide their own laptop for the workshop portion.

Presenters:

• Daniel Washburn
  Dan is a systems engineer for Explorys, Inc., a Cleveland-based medical informatics and performance management start-up, where he is the engineer in charge of the day-to-day operations of their Hadoop and HBase data grid. In previous jobs, he has worked as a Unix systems engineer, a SAN storage engineer, and an enterprise virtualization architect. Dan is also a steam-era railroad historian, historical interpreter, and steam locomotive restorationist.

Links:

• https://web.archive.org/web/20120422181148/http://www.notacon.org:80/event-information-2/speakers-and-presenters/#DanielW

Similar Presentations:

• Black Hat USA 2021 / The Unbelievable Insecurity of the Big Data Stack: An Offensive Approach to Analyzing Huge and Complex Big Data Infrastructures
• Black Hat USA 2014 / Babar-ians at the Gate: Data Protection at Massive Scale
• Black Hat USA 2015 / Securing Your Big Data Environment