Data warehouse platforms have traditionally 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 data warehouse that will revolutionize how data scientists and engineers analyze their data sets.

This on-demand webinar highlights how Databricks - a fully managed Spark platform hosted on AWS - allows you to quickly build an agile data warehousing platform that integrates with AWS services, and other tools such as Spark’s machine learning library and Spark Streaming for real-time processing of your data.

Presenters

Photo of Parviz Deyhim

Parviz Deyhim

Solutions Architect, Databricks

Parviz works with variety of different customers and helps them with adopting Apache Spark and architecting scalable data processing platform with Databricks. Previous to joining Databricks, Parviz worked at AWS as a big-data solutions architect.