Certification Course in Azure Data Engineering
Learn SQL for Data Engineering, Data Warehousing, Data Lake, Data Factory, Databricks, PySpark, Snowflakes and DevOps
4.65 (13 reviews)
1,014
students
14.5 hours
content
Mar 2025
last update
$54.99
regular price
What you will learn
Learn SQL for Data Engineering, including querying and transforming data, optimizing database performance, and handling large datasets efficiently
Gain expertise in Data Warehousing Concepts, including OLTP vs. OLAP, dimensional modeling, schema designs (Star & Snowflake), and ETL/ELT
Learn about Azure Data Engineering Fundamentals, covering key Azure services such as Azure Data Lake Storage, Blob Storage, Synapse Analytics, and security
Develop hands-on skills in Azure Data Factory (ADF) by building ETL pipelines, integrating data from various sources, and transforming data using Azure service
Gain proficiency in Databricks and PySpark, including distributed computing, Spark SQL, RDDs, and performance optimization for handling big data
Learn how to build and execute PySpark jobs for large-scale data processing and integrate Databricks with Azure services
Understand Delta Tables and Versioning, including ACID transactions, schema enforcement, and time-travel capabilities
Explore Snowflake for Data Engineering, covering architecture, data loading, query optimization, and integration with Azure
Learn how to design and deploy Production Pipelines, following best practices for scalable pipeline architectures, exception handling, and monitoring
Learn Azure DevOps for CI/CD pipeline deployment, version control, and automated testing
Discover how to leverage Azure Data Engineering Analytics, including data analysis, visualization, and monitoring with Azure services.
6500707
udemy ID
3/4/2025
course created date
3/18/2025
course indexed date
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