SQL on Hadoop and Modern Analytic Databases with Ian Cook

Doors at 6:30pm

Presentation Starts at 7:00pm

SQL is widely used by analysts to query relational databases and data warehouses. In the last ten years, as the data stored by companies has grown exponentially larger, the costs of storing it in traditional databases has soared. To achieve lower costs and greater scalability, companies have stored more of their ever-growing data on distributed platforms like Hadoop and in services like Amazon S3. Tools like Apache Hive, Apache Impala, and others have been developed to allow analysts to query this petabyte-scale data using familiar SQL syntax. Join us for a tour through the history of relational databases and the rise of SQL on Hadoop and modern analytic databases. Learn what’s different about the dialects of SQL used with these big data query engines.

After Party: Carolina 1663, 1 Europa Dr. Chapel Hill NC