This advanced course on Azure Databricks will empower you with the skills to manage complex data workflows efficiently. With a focus on advanced features like Unity Catalog, Delta Tables, and Databricks Ingestion Tools, you will gain hands-on experience in managing large-scale data pipelines, ensuring data consistency, and implementing data governance across the Databricks platform. By the end of the course, you'll have a comprehensive understanding of Databricks' capabilities in data management, equipping you to handle enterprise-level data solutions.
Advanced Data Management in Azure Databricks
Advanced Data Management in Azure Databricks
This course is part of Mastering Azure Databricks for Data Engineers Specialization
Instructor: Packt - Course Instructors
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Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Earn a Certificate
With paid plans
What you'll learn
Master the setup and configuration of Unity Catalog for secure data management
Learn how to work with Delta Tables, including time travel, schema validation, and optimization
Gain expertise in Databricks' incremental ingestion tools for seamless data processing
Develop advanced skills in Databricks Delta Live Tables (DLT) for real-time data management with SQL and Python
Skills you'll gain
Details to know
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Recently updated!
April 2025
Assessments
5 assignments
Taught in English
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This course is part of the Mastering Azure Databricks for Data Engineers Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
In this module, we will guide you through the foundational concepts and practical steps to work with Unity Catalog in Databricks. You will learn how to set up Unity Catalog, provision users, and manage secure objects within it to ensure seamless data governance and collaboration.
What's included
5 videos2 readings1 assignment
In this module, we will explore Delta Lake and its powerful features, including Delta Tables, schema management, and time travel. You鈥檒l also learn how to convert files to Delta format and optimize your tables for better performance and data consistency.
What's included
12 videos1 assignment
In this module, we will delve into Databricks' incremental ingestion tools, covering both manual and automatic schema evolution. You'll also learn how to efficiently ingest streaming data and utilize the Databricks Autoloader for automatic schema management.
What's included
8 videos1 assignment
In this module, we will explore Databricks Delta Live Tables (DLT), focusing on their practical applications, from setting up datasets to creating DLT workloads in both SQL and Python. You鈥檒l also learn how to build DLT pipelines to manage and process data efficiently.
What's included
7 videos1 reading2 assignments
Instructor
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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鈥檒l 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鈥檒l be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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Financial aid available,