Big Data Architecture Patterns

This talk is part of Cerner's Tech Talk series. Check us out at http://engineering.cerner.com/ and @CernerEng

This talk focuses on the real world experience on the architectural patterns and tools integrations used to solve real business problems with data. This will be a technical session that covers tools such as Hadoop and NoSQL data stores and how to use them for the right use cases. During the session we will dive into customer architectures and where they have had both successes and failures using a combination of tools to server both OLTP and OLAP workloads. Some of the successes will include large cost reduction in SQL licensing and SAN as well as reduction in overall data warehouse costs including ETL appliances and manpower. The other core focus will be on driving change into businesses and how these customers were able to become leaders or maintain leadership using the data at hand and a set of tools.

About the Speaker:
Eddie Satterly (@eddie_satterly) is the Chief Big Data Evangelist in the office of the CTO at Splunk. Prior to working at Splunk, he has been in a variety of roles such as engineer, architect, and CTO. Satterly has extensive experience with Apache Cassandra and Apache Hadoop and was named to the Apache Cassandra MVP board in 2012. In addition to his role at Splunk, Satterly serves on the advisory board of two data startups and is a frequent conference speaker.