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Build Data Pipelines with Delta Live Tables 

  • Offered byDatabricks

Build Data Pipelines with Delta Live Tables
 at 
Databricks 
Overview

A comprehensive exploration of Delta Live Tables, a powerful feature within the Delta Lake ecosystem that simplifies the creation and management of data pipelines

Duration

4 hours

Start from

6th Jan'25

Total fee

63,661

Mode of learning

Online

Official Website

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Credential

Certificate

Build Data Pipelines with Delta Live Tables
 at 
Databricks 
Highlights

  • Earn a certificate after completion of course from Databricks
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Build Data Pipelines with Delta Live Tables
 at 
Databricks 
Course details

Skills you will learn
More about this course

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

 
Read more

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)

Build Data Pipelines with Delta Live Tables
 at 
Databricks 
Admission Process

    Important Dates

    Jan 6, 2025
    Course Commencement Date

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