Azure Data Factory - Incrementally load data from Azure SQL to Azure Data Lake using Watermark
In a data integration solution, incrementally (or delta) loading data after an initial full data load is a widely used scenario. The tutorials in this section show you different ways of loading data incrementally by using Azure Data Factory.
In this case, you define a watermark in your source database. A watermark is a column that has the last updated time stamp or an incrementing key. The delta loading solution loads the changed data between an old watermark and a new watermark.
In this Demo we will do following
Introduction -Agenda of Demo
Create Azure SQL Database
Create Azure Data Lake
Create an Azure Data Factory
Create required tables/SP in Azure SQL
Create Linked Services
Create ADF Pipeline
Run ADF Pipeline
Verify Azure Data Lake for File
Update Azure SQL Records
Run ADF Pipeline
Verify Azure Data Lake for Delta File
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