Introduction to Presto: The SQL Engine for Data Platform Teams


Details
Presto is a widely adopted distributed SQL engine for data lake analytics and federation. With Presto, you can perform ad hoc querying of data in place, which helps solve challenges around time to discover and the amount of time it takes to do ad hoc analysis. Additionally, new features like the disaggregated coordinator, Presto-on-Spark, scan optimizations, a reusable native engine, and a Pinot connector enable added benefits around performance, scale, and ecosystem.
In this session, we will introduce the Presto technology and share why it’s becoming so popular - in fact, companies like Facebook, Uber, Twitter, Alibaba and many more use Presto for interactive ad hoc queries, reporting & dashboarding, data lake analytics, and much more. We’ll also show a quick demo on getting Presto running in AWS.
::: About Presto
The Presto Foundation is the organization that oversees the development of thePresto open source project. Presto is an independent open-source project and not controlled by any single company. Members of the Presto Foundation provide essential financial support for the collaborative development process, including tooling, infrastructure, and community conferences.
::: About Ahana
Ahana is a managed service that provides high performance SQL analytics for the data lakehouse using Presto, the open source SQL query engine.
Learn more about Ahana:
https://ahana.io/
Speaker Bio
::: Rachel Pedreschi
VP Technical Services, Ahana
Rachel is Vice President, Technical Services at Ahana where her main focus is to ensure the experience with Presto and the Ahana platform is delightful from the start. As a self-styled “Big Data Geek-ette,” she is no stranger to the world of high-performance databases. Rachel has decades of experience in database architectures and data engineering, and is an Apache Druid, Cassandra, Vertica, Informix and Redbrick certified DBA on top of her current work with Presto. Rachel has an MBA from San Francisco State University and a B.A. in Mathematics from University of California, Santa Cruz. She is also a mom / chauffeur / short order cook for 2 busy boys and in her free time.. oh wait... she doesn't have any free time.
::: Rohan Pednekar
Product Manager, Ahana
Rohan Pednekar is a Product Manager at Ahana, the Presto company. He is also the Chairperson of the Presto Conformance Program. His work at Ahana is to develop open data lake analytics and he is currently focussing on performance, reliability, table formate support, and security features for Presto. Before joining Ahana, Rohan worked on other open source projects like Apache HBase, Apache Phoenix at Hortonworks, and Cloudera.
Hosted By
::: Dany Entezari
Managing Director, BigNumber
Computational engineer, instructor, and founder of BigNumber. Dany has trained hundreds of industry professionals and students in programming, computer science, mathematics, and statistics.
Please join the BigNumber Slack channel for further information and discussions, [https://join.slack.com/t/bignumber/shared_invite/zt-h9abuaed-KuKmu~fzEprasEbrnRESbA](https://join.slack.com/t/bignumber/shared_invite/zt-h9abuaed-KuKmu~fzEprasEbrnRESbA)
Website:
https://www.bignumber.xyz

Introduction to Presto: The SQL Engine for Data Platform Teams