Photon: Accelerating SQL Queries on Databricks Lakehouse Platform
Offered By: Databricks via YouTube
Course Description
Overview
Dive into a 30-minute session exploring the latest developments in Photon, a key component for efficient query execution in the Databricks Lakehouse platform. Learn how Photon, written in C++ to leverage modern hardware, uses vectorized query processing techniques to enhance performance on real-world data and applications. Discover how Delta Lake brings ACID transactions to data lakes, improving reliability while maintaining open access and low storage costs. Explore the Databricks Lakehouse platform's simplified and high-performance experience for SQL, data engineering, and data science workloads. Understand Photon's compatibility with Apache Sparkā¢ DataFrame and SQL APIs, allowing seamless workload execution without code changes. Gain insights into workload trends, SQL as a first-class citizen, Photon's lifecycle, key characteristics, development process, and feature coverage. Learn how to radically speed up queries on Databricks and get guidance on trying Photon for yourself.
Syllabus
Introduction
Workload Trends
SQL as a First Class Citizen
Photon Overview
What is Photon
Normalized Performance Chart
Photon Lifecycle
Photon Key Characteristics
Photon Development
Photon Feature Coverage
Summary
How to try Photon
Taught by
Databricks
Related Courses
Distributed Computing with Spark SQLUniversity of California, Davis via Coursera Apache Spark (TM) SQL for Data Analysts
Databricks via Coursera Building Your First ETL Pipeline Using Azure Databricks
Pluralsight Implement a data lakehouse analytics solution with Azure Databricks
Microsoft via Microsoft Learn Perform data science with Azure Databricks
Microsoft via Microsoft Learn