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Originally developed and open sourced by Facebook, Presto is a distributed SQL engine for interactive analytics which is undergoing a hyper-growth and is being widely adopted by organizations worldwide. First we'll take a look at the past, present and future of Presto to show the maturity of where the engine's come today.
We will focus on the performance benefits of Presto and dive into what makes it suitable for interactive analytics. From there be taking a close look at the performance benefits as well as new features that are designed to boost query execution times (features like Dynamic Filtering, RubiX cache, Fast Copies) that push Presto's performance by 5-10x to sub-second SQL queries
Pradeep Reddy, Sr Solutions Architect, Qubole
Pradeep is a strategic and focused technologist, capable of leading, architecting, and delivering enterprise applications ranging from client-server/web applications to Analytics/BI & Data Science Applications. Pradeep has experience with client/server technologies, Java EE, SOA, MoM; Big Data Technologies (Hadoop, Hive, Spark, and Presto) as well as BI Tools & Solutions (Tableau, Alteryx, Looker, PowerBI & Cognos). Pradeep's unique skills are in expertise he brings in all facets of Enterprise Architecture to Big Data & Data Science Application Architecture, with a proven track record of execution that delivered business value.