In this comprehensive course, you will dive into the core concepts and functionalities of Azure Databricks, a powerful platform for big data and machine learning. By the end of this course, you will have a solid understanding of how to utilize Azure Databricks to efficiently perform data engineering tasks. You will learn how to set up your workspace, create Spark clusters, and integrate Databricks with Azure services for seamless data management and processing.



Fundamentals of Azure Databricks
This course is part of Mastering Azure Databricks for Data Engineers Specialization

Instructor: Packt - Course Instructors
Included with
Recommended experience
What you'll learn
Understand the fundamental concepts and tools available in the Azure Databricks platform
Learn how to set up an Azure Cloud account and navigate the Azure portal
Gain hands-on experience creating Spark clusters and working with Databricks notebooks
Master the Databricks File System (DBFS) and integrate it with Azure Data Lake Storage (ADLS)
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April 2025
6 assignments
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There are 5 modules in this course
In this module, we will outline the prerequisites for this course, explain the course structure, and provide instructions on accessing materials and resources. We will also share important notes to ensure you're well-prepared for the learning journey ahead.
What's included
4 videos2 readings1 assignment
In this module, we will introduce you to data engineering, explain the significance of Apache Spark in this domain, and provide an overview of the Databricks platform. You will gain foundational knowledge essential for using these tools effectively.
What's included
3 videos1 assignment
In this module, we will guide you through the process of setting up your Azure account and the Databricks workspace. You will also learn how to navigate the Azure portal and understand the architecture of the Azure Databricks platform.
What's included
6 videos1 assignment
In this module, we will cover the essential tools and features within the Databricks workspace. You’ll learn how to work with Spark clusters, use Databricks notebooks, and leverage magic commands and utilities for improved workflow efficiency.
What's included
5 videos1 assignment
In this module, we will introduce the Databricks File System (DBFS) and teach you how to manage files within it. You will also learn how to mount Azure Data Lake Storage (ADLS) to DBFS for streamlined data integration.
What's included
4 videos1 reading2 assignments
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
More questions
Financial aid available,