Building a Turbo-fast Data Warehousing Platform with Databricks

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Presented by

Parviz Deyhim, Solutions Architect, Databricks

About this talk

Traditionally, data warehouse platforms have been perceived as cost prohibitive, challenging to maintain and complex to scale. The combination of Apache Spark and Spark SQL – running on AWS – provides a fast, simple, and scalable way to build a new generation of data warehouses that revolutionizes how data scientists and engineers analyze their datasets. In this webinar you will learn how Databricks - a fully managed Spark platform hosted on AWS - integrates with variety of different AWS services, Amazon S3, Kinesis, and VPC. We’ll also show you how to build your own data warehousing platform in very short amount of time and how to integrate it with other tools such as Spark’s machine learning library and Spark streaming for real-time processing of your data.
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