Separating Query from Storage in BI and Analytics: The Presto Story

Presented by

Matt Aslett of 451 Research & Justin Borgman of Starburst

About this talk

As enterprises continue the steady migration towards the cloud, a new data architecture is gaining popularity that takes advantage of the natural separation of compute and storage the cloud provides. By separating the query engine from the data layer, companies are able to elastically scale each independently and optimize for the lowest cost and highest performance. The open source Presto project was purpose-built for this and is being used by leading companies like Facebook, Airbnb, Uber, Netflix, and LinkedIn to empower analysts and data scientists to run SQL queries on data no matter where it resides, whether that's Hadoop, S3, or a traditional RDBMS. Join this webcast to learn why companies are changing the very definition of what a "database" is and using Presto to query anything, anywhere. BI and Big Data veterans Matt Aslett, Research Director at 451 Research and Justin Borgman, CEO at Starburst will deliver this session covering current industry trends, real use case scenarios and answering questions from the audience. In this webinar you will learn: - The pros and cons of separating query from storage - An overview of the open source Presto project - How to apply the principles of this cloud architecture in both public and private clouds

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