Azure Data Factory - Incremental Load From SQL Managed Instance to Lake using Change data Capture

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Azure Data Factory - Incremental Load From SQL Managed Instance to Lake using Change data Capture
In this Demo, you create an Azure data factory with a pipeline that loads delta data based on change data capture (CDC) information in the source Azure SQL Managed Instance database to an Azure blob storage.

You perform the following steps in this tutorial:

Prepare the source data store
Create a data factory.
Create linked services.
Create source and sink datasets.
Create, debug and run the pipeline to check for changed data
Modify data in the source table
Complete, run and monitor the full incremental copy pipeline

The Change Data Capture technology supported by data stores such as Azure SQL Managed Instances (MI) and SQL Server can be used to identify changed data. This tutorial describes how to use Azure Data Factory with SQL Change Data Capture technology to incrementally load delta data from Azure SQL Managed Instance into Azure Blob Storage. For more concrete information about SQL Change Data Capture technology

00:00 Introduction - Agenda of this Demo
03:27 Create a Azure SQL Managed Instance
04:30 Create a Azure Storage Account
05:00 Create Azure Data Factory
06:25 Create Azure Managed Instance from Azure Data Studio
09:25 Create Linked Service in Azure Data Factory
10:08 Create a Azure Pipeline
23:20 Create Tumbling Trigger
24:25 Run Trigger
25:00 Monitor Pipeline

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great work! but the most interesting part is what to do with these files and how to implement merge process properly without losing any changes and in order

boriskey
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Dear is Azure Data Studio is the part of Azure Data base for storing the data and all?

ranjansrivastava