Azure data Engineer project | Incremental data load in Azure Data Factory

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Azure data Engineer project
Incremental data load in Azure Data Factory

In this video we are going to do one end to end azure data engineer project and understand how to perform incremental data load in azure data factory

Incremental Loading is often advantageous when dealing with data sources of relatively larger sizes. Compared to Full loading, ETL Incremental Loading only uploads the data that is either newly added or changed instead of fully dumping the entire dataset.

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REAL time end to end data engineer project
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Chapters:
0:00 Introduction
0:37 Business requirements
2:10 dataset & incremental load understanding
5:13 azure data factory pipeline
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script

CREATE TABLE orders
(
order_id INT ,
Name NVARCHAR(128) ,
LastName NVARCHAR(128) NOT NULL,
inserttime datetime default getdate()
)

insert into orders(order_id,FirstName,LastName) values(1,'manish','tiwari')
insert into orders(order_id,FirstName,LastName) values(2,'rani','sharma')
insert into orders(order_id,FirstName,LastName) values(3,'yuvraj','verma')

CREATE TABLE orders_final
(
order_id INT ,
Name NVARCHAR(128) ,
inserttime datetime default getdate()
)

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what we have covered in this video:

I will go through the process for the incremental load of data from an on-premises SQL Server to Azure SQL database. Once the full data set is loaded from a source to a sink, there may be some addition or modification of the source data. In that case, it is not always possible, or recommended, to refresh all data again from source to sink. Incremental load methods help to reflect the changes in the source to the sink every time a data modification is made on the source.

There are different methods for incremental data loading. I will discuss the step-by-step process for incremental loading, or delta loading

Prepare the source data store.
Create a data factory.
Create linked services.
Create source, sink, and change tracking datasets.
Create, run, and monitor the full copy pipeline.
Add or update data in the source table.
Create, run, and monitor the incremental copy pipeline.
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Hope you liked this video and learned something new :)
See you in next video, until then Bye-Bye!

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#azuredataengineer #azuredatafactory #azuredataengineering #adf #adfproject #azuredatafactorybasic

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[safkaify]

Well prepared, brief but precise, well spoken, nicely explained. I learned more in 15 minutes than I could not learn spending two hours from ADF docs on a similar tutorial. Keep up the good work.

[gargipatilakshmi]

Great explanation thank you this helped me in my project

[naveed]

what is the difference between this method and the upsert option available in the copy activity?

[johnnybegood]

Thanks for the tutorial!
I got a questions. What if you had 2 new rows to inserted into the orders.
It only would insert the last on, right? Not the two new ones?

[sarvesh]

how will incremental upsert and incremental append work in this scenario?

[pallavisanap]

can you create vdeo on like if few files like one palce 1000 files but i want 100 files csv need to copy from one place to another folder in storage account real time senario is this

[abhishekasane]

Upsert function will work same, right ?

[nagrajganiga]

Hi, it was an informative video, I have a question, if you have to do the same with source as parquet files and destination as azure sql server, how would you do it?

[saranyasdiary]

How it can be implemented if source is sftp and sink is azure sql

[gauravdevgan]

how do we manage delete? if source table is huge (size =200gb) how do we identify if some of the rows are deleted from it before inserting into target table?

[HARIRAMA]

Hi @learn by doing, This logic will not work for data that was inserted into source during the pipeline run since data and time will be same for new data inserted in to source as well the max time of sink. Its better that we copy data and time from source to sink.

[Ramana]

Could please make a vesio of full load copy activity from sql on prime to azure sql or adls

[MultiVenu]

What if there's no column regarding time which should be taken into consideration. Then how can we achieve this?

[rajudasari]

What if we have date column without time stamp? how to do incremental load

[sunithareddy]

Can we do it on onprem instead of Azure SQL?

[ayaansk]

but how can we add insertion time in source table?