1. Hands-On: ADF Project End-to-End Azure Data Engineering - Copy Data from Source Blob to Sink Blob
Azure Data Factory (ADF) is a cloud-based data integration service from Microsoft that allows you to create, schedule, and orchestrate data workflows at scale. It is primarily used to build complex data pipelines for Extract, Transform, and Load (ETL) or Extract, Load, and Transform (ELT) processes. These pipelines can ingest data from various sources, transform it into usable formats, and load it into destination systems like data warehouses, data lakes, or other storage systems.
What we will learn:
what is Azure Data Engineering
what is Azure Data Factory
what is Integration Runtime
what is Azure Blob Storage
CSV File Overview
Scenarios
Prerequisites
Required Resources
Hands-On Steps
Create two Storage Account(source storage Sink Storage)
Create Azure Data Factory V2
Create Input folder and upload csv file in Source Storage Account
Create Output folder in Sink Storage Account
Create Linked Service (Connection) for Source blob storage
Create Linked Service (Connection) for Sink blob storage
Create Source Data Reference
Create Sink Data Reference
Create Pipeline and Configure Copy Activity to Copy data from source to Sink Storage
Debug Pipeline
Test Output folder to make sure files are loaded in Sink Storage
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