Azure Data Factory

Categories: Cloud Computing
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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

  • 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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