Certification Course in Azure Data Engineering
Certification Course in Azure Data Engineering
Learn SQL for Data Engineering, Data Warehousing, Data Lake, Data Factory, Databricks, PySpark, Snowflakes and DevOps
What you'll 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.
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