Due to varying definitions of Big Data which confuse data volume and data organization, the common perception is that Big Data requires the use of Hadoop, MongoDB, or another NoSQL database. SQL Server can easily store and manipulate very large volumes of data and perform quite well provided the database is properly set up and tuned. In this session we'll cover some of the definitions and misconceptions of Big Data, look at some Big Data solutions that went horribly wrong and review a case where Big Data was successfully implemented in SQL Server. Finally, we'll take a peek under the covers to see how SQL Server best handles Big Data through proper data models, table designs, performance tuning, and T-SQL techniques.
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