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Get Started with Databricks for Data Engineering

In this course, you will learn basic skills that will allow you to use the Databricks Data Intelligence Platform to perform a simple data engineering workflow and support data warehousing endeavors. You will be given a tour of the workspace and be shown how to work with objects in Databricks such as catalogs, schemas, volumes, tables, compute clusters and notebooks. You will then follow a basic data engineering workflow to perform tasks such as creating and working with tables, ingesting data into Delta Lake, transforming data through the medallion architecture, and using Databricks Workflows to orchestrate data engineering tasks. You’ll also learn how Databricks supports data warehousing needs through the use of Databricks SQL, Delta Live Tables, and Unity Catalog. With the purchase of a Databricks Labs subscription, the course also closes out with a comprehensive lab exercise to practice what you’ve learned in a live Databricks Workspace environment.


Languages Available: English | 日本語 | Português BR | 한국어

Skill Level
Onboarding
Duration
2h
Prerequisites
  • A basic understanding of data engineering principles and topics such as data collection, extraction, ingestion, and transformation.

Outline

Databricks Fundamentals

Databricks Architecture

Databricks Products and Features

Exploring the Databricks Platform


Using Databricks for Data Engineering

Introduction and  Overview

Introduction to Data Engineering

Delta Lake Overview

Creating and Working with a Delta Table 

Delta Lake Data Ingestion Techniques Overview

Ingesting Data into Delta Lake

Data Transformation Overview

Transforming Data Using the Medallion Architecture

Unified Orchestration Using Databricks Overview

Creating a Simple Databricks Workflow

Upcoming Public Classes

Date
Time
Language
Price
Apr 10
02 PM - 04 PM (Asia/Kolkata)
English
Free
Apr 11
09 AM - 12 PM (Asia/Kolkata)
English
Free
Apr 11
02 PM - 04 PM (Asia/Kolkata)
English
Free
Apr 11
03 PM - 05 PM (Europe/London)
English
Free
Apr 14
03 PM - 05 PM (Europe/London)
English
Free
Apr 18
01 PM - 03 PM (America/New_York)
English
Free
Apr 23
09 AM - 11 AM (America/Los_Angeles)
English
Free
Apr 28
12 PM - 02 PM (Asia/Singapore)
English
Free
Apr 30
12 PM - 02 PM (Asia/Singapore)
English
Free
Apr 30
09 AM - 11 AM (America/Los_Angeles)
English
Free
May 01
02 PM - 04 PM (Asia/Kolkata)
English
Free
May 02
02 PM - 04 PM (Asia/Kolkata)
English
Free
May 07
10 AM - 12 PM (Asia/Kolkata)
English
Free
May 07
02 PM - 04 PM (Asia/Kolkata)
English
Free
May 07
09 AM - 11 AM (America/Los_Angeles)
English
Free
May 09
02 PM - 04 PM (Asia/Kolkata)
English
Free
May 14
12 PM - 02 PM (Asia/Kolkata)
English
Free
May 15
03 PM - 05 PM (Europe/London)
English
Free
May 20
02 PM - 04 PM (Asia/Kolkata)
English
Free
May 21
03 PM - 05 PM (Europe/London)
English
Free
May 21
09 AM - 11 AM (America/Los_Angeles)
English
Free
May 23
09 AM - 11 AM (America/Los_Angeles)
English
Free
May 26
12 PM - 02 PM (Asia/Singapore)
English
Free
May 30
12 PM - 02 PM (Asia/Singapore)
English
Free
May 30
03 PM - 05 PM (Europe/London)
English
Free
Jun 03
10 AM - 12 PM (Asia/Kolkata)
English
Free
Jun 04
09 AM - 11 AM (America/Los_Angeles)
English
Free
Jun 05
03 PM - 05 PM (Europe/London)
English
Free
Jun 16
03 PM - 05 PM (Europe/London)
English
Free
Jun 18
09 AM - 11 AM (America/Los_Angeles)
English
Free
Jun 20
12 PM - 02 PM (Asia/Singapore)
English
Free
Jun 20
10 AM - 12 PM (Asia/Kolkata)
English
Free
Jun 20
09 AM - 11 AM (America/Los_Angeles)
English
Free
Jun 23
12 PM - 02 PM (Asia/Singapore)
English
Free
Jun 24
03 PM - 05 PM (Europe/London)
English
Free
Jun 26
12 PM - 02 PM (Asia/Singapore)
English
Free
Jun 27
02 PM - 04 PM (Asia/Kolkata)
English
Free

Public Class Registration

If your company has purchased success credits or has a learning subscription, please fill out the Training Request form. Otherwise, you can register below.

Private Class Request

If your company is interested in private training, please submit a request.

See all our registration options

Registration options

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Runtime

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Learning

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Scale

Skills@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

Data Engineer

Automated Deployment with Databricks Asset Bundles

This course provides a comprehensive review of DevOps principles and their application to Databricks projects. It begins with an overview of core DevOps, DataOps, continuous integration (CI), continuous deployment (CD), and testing, and explores how these principles can be applied to data engineering pipelines.

The course then focuses on continuous deployment within the CI/CD process, examining tools like the Databricks REST API, SDK, and CLI for project deployment. You will learn about Databricks Asset Bundles (DABs) and how they fit into the CI/CD process. You’ll dive into their key components, folder structure, and how they streamline deployment across various target environments in Databricks. You will also learn how to add variables, modify, validate, deploy, and execute Databricks Asset Bundles for multiple environments with different configurations using the Databricks CLI.

Finally, the course introduces Visual Studio Code as an Interactive Development Environment (IDE) for building, testing, and deploying Databricks Asset Bundles locally, optimizing your development process. The course concludes with an introduction to automating deployment pipelines using GitHub Actions to enhance the CI/CD workflow with Databricks Asset Bundles.

By the end of this course, you will be equipped to automate Databricks project deployments with Databricks Asset Bundles, improving efficiency through DevOps practices.

Note: This course is the fourth in the 'Advanced Data Engineering with Databricks' series.

Free
2h
Professional

Questions?

If you have any questions, please refer to our Frequently Asked Questions page.