Databricks Streaming and Delta Live Tables
This course provides a comprehensive understanding of Spark Structured Streaming and Delta Lake, including computation models, configuration for streaming read, and maintaining data quality in a streaming environment.
Note: This course is part of the 'Advanced Data Engineering with Databricks' course series.
The content was developed for participants with these skills/knowledge/abilities:
- Ability to perform basic code development tasks using the Databricks Data Engineering and Data Science workspace (create clusters, run code in notebooks, use basic notebook operations, import repos from git, etc.)
Intermediate programming experience with PySpark
- Extract data from a variety of file formats and data sources
- Apply a number of common transformations to clean data
- Reshape and manipulate complex data using advanced built-in functions
Intermediate programming experience with Delta Lake (create tables, perform complete and incremental updates, compact files, restore previous versions, etc.)
Beginner experience configuring and scheduling data pipelines using the Delta Live Tables (DLT) UI
Beginner experience defining Delta Live Tables pipelines using PySpark
Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
Registration options
Databricks has a delivery method for wherever you are on your learning journey
Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
Register nowInstructor-Led
Public and private courses taught by expert instructors across half-day to two-day courses
Register nowBlended Learning
Self-paced and weekly instructor-led sessions for every style of learner to optimize course completion and knowledge retention. Go to Subscriptions Catalog tab to purchase
Purchase nowSkills@Scale
Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details
Upcoming Public Classes
![Career Workshop](/trainings-assets/static/employees-50ed31c533c98e419f20eebf465988c1.jpg)
Career Workshop/
March 20