Azure Data Factory
Categories: Cloud Computing
About Course
This course will equip students with the knowledge and skills to effectively use Azure Data Factory for data integration and management. They will learn how to connect to various data sources, automate data workflows, and process large datasets efficiently. By the end, students will be able to build scalable data pipelines, handle real-world data challenges, and contribute to data-driven decision-making within organizations. This hands-on learning experience will prepare them for roles in data engineering, analytics, and cloud computing, enhancing their career prospects in the growing field of data technology.
What Will You Learn?
- How to create and manage Azure Data Factory pipelines.
- Integrate and transform data from multiple sources.
- Monitor and troubleshoot data pipeline performance.
- Implement best practices for data security and governance.
- Understand data flow concepts in a practical, hands-on manner.
Course Content
SECTION 1: INTRODUCTION
SECTION 2: ENVIRONMENT SETUP
SECTION 3: BUILDING BLOCKS OF ADF
SECTION 4: COPY DATA ACTIVITY
SECTION 5: PARAMETERS AND VARIABLES
SECTION 6: CONTROL FLOW ACTIVITY
SECTION 7: OTHER IMPORTANT PIPELINE ACTIVITIES
SECTION 8: MAPPING DATAFLOWS
SECTION 9: ADVANCED CONCEPT
SECTION 10: TRIGGERS
SECTION 11: MONITORING
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