Build Data Pipelines with Delta Live Tables

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.

Skill Level

Associate

Duration

Prerequisites

Beginner-level familiarity with basic cloud concepts (virtual machines, object storage, identity management)
Ability to perform basic code development tasks (create compute, run code in notebooks, use basic notebook operations, import repos from git, etc)
Intermediate familiarity with basic SQL concepts (CREATE, SELECT, INSERT, UPDATE, DELETE, WHILE, GROUP BY, JOIN, etc.)

Outline

- The Medallion Architecture
- Introduction to Delta Live Tables
- Using the Delta Live Tables UI - PART 1 - Orders
- Using the Delta Live Tables UI - PART 2 - Customers
- Using the Delta Live Tables UI - PART 3 - Lab - Status
- SQL pipelines
- Python pipelines
- Delta Live Tables Running Modes
- Pipeline Results
- Pipeline Event Logs

Upcoming Public Classes

Date	Time	Language	Price
Date	Time	Language	Price	Jun 02	09 AM - 01 PM (America/New_York)	English	$750.00
Jun 03	01 PM - 05 PM (Europe/London)	English	$750.00
Jun 30	01 PM - 05 PM (Asia/Kolkata)	English	$750.00
Jul 01	01 PM - 05 PM (America/New_York)	English	$750.00
Jul 02	09 AM - 01 PM (Europe/London)	English	$750.00
Jul 02	01 PM - 05 PM (Europe/London)	English	$750.00
Jul 03	01 PM - 05 PM (Asia/Kolkata)	English	$750.00
Aug 04	01 PM - 05 PM (Asia/Singapore)	English	$750.00
Aug 06	01 PM - 05 PM (Europe/London)	English	$750.00
Sep 01	01 PM - 05 PM (Asia/Kolkata)	English	$750.00
Sep 03	01 PM - 05 PM (America/New_York)	English	$750.00
Sep 29	01 PM - 05 PM (Europe/London)	English	$750.00
Oct 01	09 AM - 01 PM (Asia/Kolkata)	English	$750.00

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