Big Data Architecture Patterns

Big Data Architecture Patterns

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Big Data Architecture Patterns
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This talk is part of Cerner's Tech Talk series. Visit us at http://engineering.cerner.com/ and @CernerEng

This talk focuses on hands-on experience with the architectural patterns and tool integrations used to solve real business problems with data. This will be a technical session discussing tools such as Hadoop and NoSQL data stores and how to use them for the right use cases. During the session we'll dive into customer architectures and where they've had both successes and failures, using a combination of tools to handle both OLTP and OLAP workloads. Successes include major cost savings in SQL licensing and SAN, as well as a reduction in overall data warehouse costs, including ETL equipment and manpower. The other core focus will be on driving change in businesses and how these customers could become leaders or maintain leadership using the available data and a range of tools.

About the speaker:
Eddie Satterly (@eddie_satterly) is the Chief Big Data Evangelist in the Office of the CTO at Splunk. Before joining Splunk, he held various positions, such as engineer, architect and CTO. Satterly has extensive experience with Apache Cassandra and Apache Hadoop and was appointed to the Apache Cassandra MVP board in 2012. In addition to his role at Splunk, Satterly serves on the advisory boards of two data startups and is a frequent conference speaker.

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