Chariot Solutions has been working with Comcast to enable better understanding of selections their cable subscribers make in their onscreen menus. Andrew Oswald, a Hadoop and data analysis expert at Chariot, led a team of developers in implementing a data analysis engine using the Apache Hadoop Map/Reduce engine.
Andrew discusses how the solution helped their data analysis team reach decisions in near real time.
Comcast’s Josh Angotti led the effort from Comcast’s perspective, and discusses his view of the solution, and the ultimate benefits of using a big data analysis tool suite. Questions are taken by both parties.
Tom Santero is a Technical Evangelist for Basho, the creators of Riak, a NoSQL database engine. His talk focuses on the concerns involved in keeping a large dataset up to date, mixing concurrency with consistency concerns. He reviews a number of techniques used by various types of software, including the Riak database.
Every database technology is a product of its time, optimized for a particular hardware profile. Today, “Big Data” is often synonymous with the Map/Reduce architecture and Hadoop but, as technology continues to evolve, cost/performance tradeoffs are changing. This talk will highlight some recent trends in data storage technology and distributed systems, with a focus on how Datomic takes advantage of those trends. Datomic is a new non-SQL database featuring ACID transactions, distributed storage, and a unique data model that encompasses change over time.