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September 27-30, 2021
Seattle, Washington, USA + Virtual
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Wednesday, September 29 • 3:55pm - 4:45pm
(VIRTUAL) Presto - Today and Beyond - The Open Source SQL Engine for Querying all Data Lakes - Dipti Borkar, Ahana & Tim Meehan, Facebook

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Born at Facebook, Presto is an open source high performance, distributed SQL query engine. With the disaggregation of storage and compute, Presto was created to simplify querying of all data lakes - cloud data lakes like S3 and on premise data lakes like HDFS. Presto's high performance and flexibility has made it a very popular choice for interactive query workloads on large Hadoop-based clusters as well as AWS S3, Google Cloud Storage and Azure blob store. Today it has grown to support many users and use cases including ad hoc query, data lake house analytics, and federated querying. In this session, we will give an overview on Presto including architecture and how it works, the problems it solves, and most common use cases. We'll also share the latest innovation in the project as well as the future roadmap.
Speakers
avatar for Dipti Borkar

Dipti Borkar

Cofounder & Chief Product Officer, Ahana
Dipti Borkar is the Cofounder, Chief Product Officer & Chief Evangelist at Ahana, the Presto company. She is responsible for all things strategy, product and community. She is also the Chairperson of the Presto Foundation, Outreach team. She has over 15 years of experience in data... Read More →
avatar for Tim Meehan

Tim Meehan

Chair of Presto Technical Steering Committee & Software Engineer, Meta
Tim is a Software Engineer at Meta working the core Presto engine. He is also the Chairperson of the Technical Steering Committee of Presto Foundation that hosts Presto under the Linux Foundation. As the chair and a Presto committer, he is works with other foundation members to drive... Read More →

Intro to Presto OspoCon final pdf
Wednesday September 29, 2021 3:55pm - 4:45pm PDT
MeetingPlay Platform + Virtual Learning Lab
  AI & Data, Data (Versioning + Format + Pipeline Management + Stream Processing + SQL Engines + Feature Engineering + Visualization + Governance + Labeling)