Databricks - Master Azure Databricks for Data Engineers

Learn Azure Databricks for professional data engineers using PySpark and Spark SQL with an end-to-end capstone project
4.66 (2085 reviews)
Udemy
platform
English
language
Data Science
category
Databricks - Master Azure Databricks for Data Engineers
17 402
students
17.5 hours
content
Jan 2024
last update
$84.99
regular price

What you will learn

Databricks in Azure Cloud

Working with DBFS and Mounting Storage

Unity Catalog - Configuring and Working

Unity Catalog User Provisioning and Security

Working with Delta Lake and Delta Tables

Manual and Automatic Schema Evolution

Incremental Ingestion into Lakehouse

Databricks Autoloader

Delta Live Tables and DLT Pipelines

Databricks Repos and Databricks Workflow

Databricks Rest API and CLI

Capstone Project

Course Gallery

Databricks - Master Azure Databricks for Data Engineers – Screenshot 1
Screenshot 1Databricks - Master Azure Databricks for Data Engineers
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Screenshot 2Databricks - Master Azure Databricks for Data Engineers
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Screenshot 3Databricks - Master Azure Databricks for Data Engineers
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Screenshot 4Databricks - Master Azure Databricks for Data Engineers

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Our Verdict

Praised by subscribers and industry experts alike, this comprehensive course offers a profound learning experience for aspiring Data Engineers. Despite minor outdated elements and room for improvement in engagement, its detailed instructions, real-life applications, and valuable capstone project elevate learners' understanding of Azure Databricks.

What We Liked

  • Excellent coverage of Azure Databricks for Data Engineers
  • Well-structured modules with end-to-end capstone project
  • Detailed explanations perfect for new learners, total duration: 17.5 hours
  • Practical examples and clear instructions on each step with real life applications

Potential Drawbacks

  • A few modules could benefit from updates, particularly Unity Catalog
  • Project section requires improvement for up-to-date Azure Metastore creation
  • Limited interactivity & real-time Q&A with the instructor
  • Occasionally lacks depth in certain areas of Databricks configuration
5733038
udemy ID
28/12/2023
course created date
17/01/2024
course indexed date
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