Build Data Pipelines with Delta Live Tables
- Offered byDatabricks
Build Data Pipelines with Delta Live Tables at Databricks Overview
Duration | 4 hours |
Start from | 6th Jan'25 |
Total fee | ₹63,661 |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Build Data Pipelines with Delta Live Tables at Databricks Highlights
- Earn a certificate after completion of course from Databricks
Build Data Pipelines with Delta Live Tables at Databricks Course details
In this course, you’ll learn how to define and schedule data pipelines that incrementally ingest and process data through multiple tables in the lakehouse using Delta Live Tables (DLT) in Spark SQL and Python
The course covers how to get started with DLT, how DLT tracks data dependencies in data pipelines, how to configure and run data pipelines using the Delta Live Tables UI, how to use Python or Spark SQL to define data pipelines that ingest and process data through multiple tables in the lakehouse using Auto Loader and DLT, how to use APPLY CHANGES INTO syntax to process Change Data Capture feeds, and how to review event logs and data artifacts created by pipelines and troubleshoot DLT syntax
Class Schedule
01 PM - 05 PM
Build Data Pipelines with Delta Live Tables at Databricks Curriculum
The Medallion Architecture
Introduction to Delta Live Tables
Using the Delta Live Tables UI
Delta Live Tables Running Modes
Pipeline Results
Pipeline Event Logs
Land New Data (Optional)