Data compression is a ubiquitous aspect of modern computing, but not necessarily well-understood or optimally implemented. This talk will cover fundamental compression concepts that every software engineer working with the storage or transmission of data should understand.
We will explore the inner workings of several popular compression algorithms and how these algorithms work for different types of data, including situations where compressing data might not actually be beneficial.
* This talk description can be compressed by 46%, from 569 bytes to 309 bytes.
About the Speaker:
Andrew Olson is an architect on the Big Data Platform team, where he helps design and build frameworks for Cerner's cloud-based solutions using open source projects such as HBase, Crunch, Storm, and Kafka. After graduating from Iowa State University in 2001, Andrew joined Cerner as a software engineer on the team that is now known as Millennium Foundations. An avid soccer fan, you can find him in the South Stand at most home Sporting KC games.
This talk was given at DevCon, Cerner's internal engineering conference. Check us out at engineering.cerner.com/
Cerner DevCon 2014
June 4, 2014