Tech Talk: Top Tuning Tips for Spark 30 and Delta Lake on Databricks

Instructor: Databricks

Duration: 1.00

This Tech Talk provides an overview of the best tuning tips for Apache Spark 3.0 and Delta Lake on Databricks. Attendees will learn how to pick the best join strategy, use partition pruning and data skipping, optimize merges, and pick good instance types. They will also gain insight into the advantages of using Apache Spark 3.0 and AQE, as well as the benefits of Databricks Delta Lake and Stats. ▼▲

Course Feature Course Overview Course Provider Discussion and Reviews

Go to class

Course Feature

Cost:

Free

Provider:

Youtube

Certificate:

Paid Certification

Language:

English

Start Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

This Tech Talk course provides an overview of the best tuning tips for Spark 0 and Delta Lake on Databricks. It covers topics such as using the latest version of DBR, picking the best join strategy, using Apache Spark 0 and AQE, partition pruning, data skipping, Z-Ordering, Databricks Delta Lake and Stats, optimizing merges, and picking good instance types.
Possible Development Paths include becoming a data engineer, data scientist, or software engineer. Learners can also pursue a degree in computer science, data science, or a related field.
Learning Suggestions for learners include taking courses in Apache Spark, Apache Hadoop, and Apache Kafka. Learners should also become familiar with the basics of data engineering, data science, and software engineering. Additionally, learners should practice their skills by working on projects and participating in hackathons.