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DESCRIPTION:Click for Latest Location Information: http://edw2015.dataversity.net/sessionPop.cfm?confid=87&proposalid=7245\nBig data has presented new challenges in business analytics - end users are requesting real time analytics on ever increasing volumes of data. So what are the technologies that can enable this analysis? For many use cases the solution is storing the data in a columnar format to take advantage of massive compression and extremely efficient analytical processing for analytical queries. We will discuss the challenges of inserting and updating columnar data and how these data stores can pose unique architectural challenges.\nYou will learn:\nHow columnar store features differ from traditional relational features\nHow to manage referential integrity and other data constraints\nHow these data stores work to improve your performance\nWhen and why to use these features\nWhat should a data modeler know about columnar databases\nHow to leverage an enterprise data model \nHow data modeling tools support these databases/features
DTSTART:20150330T083000
SUMMARY:AM8: Architecting and Modeling Columnar Data Stores
DTEND:20150330T114459
LOCATION: See Description
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