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DESCRIPTION:Click for Latest Location Information: http://nosql2013.dataversity.net/sessionPop.cfm?confid=74&proposalid=5651\nA key application of big data analytics involves understanding consumer behaviors from sources such as click streams, sensors, text, and other forms of non-traditional data.  In this workshop we will discuss the use of NoSQL analytics to extract value from text data captured during customer interactions for the purpose of increasing subscriber retention.  We demonstrate how the Not-Only-SQL approach leveraging a combination of SQL and MapReduce maximizes efficiency and productivity of data scientists within T-Mobile through detailed examination of a specific case study in semi-structured text analytics.  We also show the importance of advanced data visualization techniques when performing big data analytics.  The overall architecture for optimizing the use of Hadoop alongside traditional and non-traditional platforms is presented along with our future direction in big data analytics.  \n \nLearn about combining SQL and MapReduce for semi-structured text analytics.\nLearn about optimizing a big data analytics ecosystem with a unified data architecture.\nLearn about matching skill sets and technologies to maximize productivity for data scientists within an enterprise analytics team.\n
DTSTART:20130821T161500
SUMMARY:Big Data Analytics at T-Mobile
DTEND:20130821T165959
LOCATION: See Description
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