Spark SQL & Machine Learning - A Practical Demonstration

Spark SQL & Machine Learning - A Practical Demonstration

Please join us as we explore how SQL developers can deliver powerful machine learning applications by leveraging Spark's SQL and MLlib libraries. The presentation will include a brief overview covering Spark components and architecture, and then we dive right in with a live demonstration of loading and querying data using Spark SQL. Next, we'll examine the basics of machine learning algorithms and workflows before getting under the hood of a Spark MLlib-based recommendation engine. Our final demonstration looks at how familiar tools can be used to query our recommendation data before we wrap up with a survey of real-world use cases.

About the speaker:

Craig Warman is a Systems Engineer for MapR Technologies. He's worked in a variety of database/software/consulting capacities for the last 25 years after graduating from Virginia Tech with a CS degree in 1989. He's a marathon runner, a Harley rider, and actively engaged with prison ministry in the Atlanta area.

Food and Beverages provided by:

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