🧿 ADF Introduction
🧿 Important Concepts in ADF
🧿 Features of Azure Data Factory
🧿 How does it work?
🧿 Data Factory architecture

🧿 Pipelines
🧿 Activities
🧿 Datasets
🧿 Linked services
🧿 Data Flows
🧿 Integration Runtime and Types
🧿 Triggers

🧿 Create Azure Free Account for ADF
🧿 Azure portal Overview
🧿 Subscription, Resource Groups, Resources
🧿 Create Resource Group
🧿 Create Storage Account

🧿 Provision Data Factory
🧿 Understanding Data Factory UI
🧿 Create Linked Services
🧿 Create Datasets

🧿 Medellion Architecture
🧿 Copy data Activity
🧿 Azure Storage Account Integration with ADF
🧿 Trigger pipeline manually
🧿 Provision SQL Server and Create Database
🧿 Copy data from storage account to storage account
🧿 Copy multiple files from blob to blob
🧿 Copy CSV file from blob to ADLS
🧿 Copy Data from Blob Storage to SQL Database
🧿 GitHub Integration with ADF
🧿 Copy data from GitHub to ADLS
🧿 Rest API Integration with ADF
🧿 Copy data from Rest API
🧿 Decompress a Zip File
🧿 Copy Data from on-premise SQL Server to Blob Storage
🧿 Understanding Lookup Activity
🧿 Understanding for Each Activity
🧿 Filter Activity
🧿 Validation activity
🧿 Get Metadata Activity Azure
🧿 If activity
🧿 Delete activity
🧿 Introduction to Azure Databricks
🧿 Data processing on databricks
🧿 Invoke Notebook in ADF
🧿 Snowflake integration with ADF
🧿 Copy data from Snowflake to ADLS Gen2
🧿 Copy data from ADLS Gen2 to Snowflake
🧿 Azure CosmosDB integration with ADF
🧿 Copy data from Azure SQLDB to CosmosDB
🧿 Copy data from blob to cosmosDB
🧿 Data Migration from On premise File System to cloud
🧿 Data Migration from On premise SQL Server to cloud
🧿 Migrate Data from AWS S3 Buckets to ADLS Gen2
🧿 Incremental Load in ADF
🧿 Incremental Load or Delta load from SQL to Blob Storage
🧿 Multi Table Incremental Load from SQL to Blob Storage

🧿 Debug Pipeline
🧿 Monitor pipeline
🧿 ADF Triggers
🧿 Trigger pipeline on schedule
🧿 Event Based Trigger in ADF
🧿 Tumbling window trigger dependency & parameters
🧿 Schedule Trigger

🧿 Azure Data Flows Introduction
🧿 Setup Integration Runtime for Data Flows
🧿 Basics of SQL Joins for Azure Data Flows
🧿 Joins in Data Flows
🧿 Aggregations and Derive Column Transformations
🧿 Advanced Join Transformations with filter & Conditional Split
🧿 Data Flows – Data processing use case
🧿 Restart data processing from failure
🧿 Remove Duplicate Rows
🧿 Difference Between Join and Lookup
🧿 Dimensions in Data Flows
🧿 Slowly Changing Dimension Type1 (SCD1) with HashKey Function
🧿 Flatten Transformation
🧿 Rank, Dense_Rank Transformatios
🧿 Data Flows Performance Metrics and Data Flow Parameters
🧿 How to use pivot and unpivot Transformations
🧿 Data Quality Checks and Logging using Data Flows