Discover the power of Presto, a widely adopted distributed SQL engine for data lake analytics, in this 21-minute introductory video. Learn how Presto enables ad hoc querying of data in place, solving challenges around time to discover and ad hoc analysis. Explore new features like the disaggregated coordinator, Presto-on-Spark, scan optimizations, reusable native engine, and Pinot connector, which offer enhanced performance, scale, and ecosystem benefits. Understand why major companies like Facebook, Uber, Twitter, and Alibaba use Presto for interactive ad hoc queries, reporting, and dashboarding data lake analytics. Get insights into Presto's technology, its popularity, and see a quick demo on running Presto in AWS. Dive into topics such as pluggable Presto connectors, the Presto connector data model, Hive connector for object store file systems, data file types, and Presto's superior performance due to in-memory processing. Explore various use cases including interactive reporting, data science, and batch transformation. Gain an overview of Ahana, the Presto company, and discover how one Presto can serve many use cases.
Overview
Syllabus
DATA+AI SUMMIT 2022
Rohan Pednekar
Presto Overview
Common Questions?
Pluggable Presto Connectors Today's top five popular connectors
Presto Connector Data Model • Connector: Driver for a data source.
Presto Hive Connector for Object store Files systems
Presto Hive Connector - Data File Type
Why Presto consistently outperforms • In-Memory processing
Presto Use Cases
Interactive - Reporting and Dashboa
Interactive - Data Science
Batch - Transformation, cleansing et
Ahana At A Glance • The Presto Company
One Presto, many use cases
Taught by
Databricks
