Due to varying definitions of Big Data, which confuse data volume and organization, the common perception is that Big Data requires using Hadoop, MongoDB, or another NoSQL database. Relational Databases can easily store and manipulate large volumes of data and perform exceptionally well, provided the database is appropriately 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 wrong, and review a case where Big Data was successfully implemented in Relational Databases. Finally, we'll look under the covers to see how Relational Databases best handle Big Data through proper data models, table designs, performance tuning, and stored procedure techniques.