Explore the open-source distributed SQL query engine Presto in this Linux Foundation webinar. Learn about Presto's technology, its growing popularity, and its role in data lake analytics. Discover Presto's architecture, use cases, and performance advantages. Understand how Presto differs from traditional databases and its pluggable connector system. Dive into benchmarking techniques using the benchto tool and interpret performance metrics. Get introduced to Ahana Cloud for Presto, a managed service that simplifies deployment. Gain insights into the concept of Open Data Lake Analytics and how Presto fits into this emerging paradigm. Watch a demonstration on getting started with Presto in the cloud and understand why it's becoming a key technology for modern data analytics.
An Intro to Presto, the Open Source Distributed SQL Query Engine for the Data Lake
Overview
Syllabus
Intro
What is Presto?
Presto Overview
Presto: One of the Fastest growing presto Open Source Projects in Data Analytics
Common Questions • Is Presto a database?
Presto Use Cases
What makes Presto different?
Scalable Architecture
Pluggable Presto Connectors
Presto Connector Data Model
Presto Hive Connector for Object stores & Files systems
Presto Hive Connector - Data File Types • Supported File Types
Why Presto is Fast?
Presto Benchmarking
Benchto tool from Prestodb
Steps to build the benchto tool
Benchto configuration files
Setting Run environment
Benchmark Run
Performance Metrics
Comparing Results
Ahana Cloud for Presto Managed Service • Enables data platform engineers in minutes vs. days
The Next Data Warehouse: Open Data Lake Analytics
Taught by
Linux Foundation
