Azure Databricks end to end project with Unity Catalog CICD
Azure Databricks Mastery: Hands-on project with Unity Catalog , Delta lake, CI/CD implementing Medallion Architecture
4.70 (1340 reviews)
10 662
students
15 hours
content
Apr 2025
last update
$84.99
regular price
What you will learn
Understand and implement Unity Catalog
Implement project with incremental loading
Understanding the Spark Structured Streaming
Implement Continuous Integration and Continuous Deployment in project
Real time hands-on project experience
Implement and work with Delta Lake
Understand the features of Delta Lake
Implement Medallion Architecture in your project
Evolution of Delta lake from Datalake
Understand workflows in Azure Databricks
Simulate real time environment with Unity Catalog
Implement and understand the governance with Unity Catalog
Master the compute cluster creation and Management
How spark structured streaming works
Implement structured streaming in Azure databricks
Understand incremental loading with Autoloader
Code that can run in any environment
Understand and implement the Unity Catalog Object Model
Build an end to end CICD pipeline
Understand the implementation of Delta Live tables
Practise tests to check your knowledge
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Our Verdict
With a focus on practical skills and real-world projects, this Azure Databricks course provides learners with essential concepts and tools to enhance their cloud-based data engineering expertise. Though image quality could be improved, the engaging teaching style and depth of coverage make it an ideal choice for those looking to master Azure Databricks and related technologies.
What We Liked
- Comprehensive coverage of Azure Databricks, Unity Catalog, Delta Lake, and CI/CD methodologies
- Real-world projects and hands-on practical concepts, preparing learners for the Databricks Certified Data Engineer Associate certification
- In-depth exploration of Medallion Architecture, enhancing understanding of Azure Databricks integration and processing in cloud-based data engineering
- High-quality teaching with clear demonstrations, making it an engaging learning experience for both beginners and seasoned professionals
Potential Drawbacks
- Quality of some images in the course material may not be up to par, making following along challenging in some instances
- Despite several tutorials on testing, learners might desire more exhaustive chapters focusing on various testing methodologies
- Course can occasionally seem slow-paced for experienced professionals who have previously worked with similar tools and technologies
- Presentation focuses primarily on Databricks as a standalone tool without much emphasis on its integration with other Azure services
5741774
udemy ID
03/01/2024
course created date
15/01/2024
course indexed date
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