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Lookup activity in azure data factory
Azure Data Factory: Lookup Activity Tutorial 🔍
Welcome to our latest KZfaq tutorial where we explore the Lookup activity in Azure Data Factory (ADF)!
Join us in this comprehensive tutorial as we dive into the Lookup activity, an essential tool in Azure Data Factory, Microsoft's cloud-based data integration service. The Lookup activity allows you to query and retrieve data from external data sources, empowering you to enrich your data pipelines with additional information or reference data.
Key Topics Covered:
Understanding the purpose and use cases of the Lookup activity
Configuring the Lookup activity in Azure Data Factory pipelines
Connecting to various data sources, such as databases, files, and APIs
Defining query expressions and parameters for data retrieval
Handling lookup results and mapping them to pipeline data structures
Error handling and retry mechanisms for robust lookup operations
Best practices and tips for efficient usage and optimization
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Please like & share the video.
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script
create table employee (
id int,
name varchar(128),
country varchar(128)
)
insert into employee values(1,'manish','india')
insert into employee values(2,'manish','USA')
insert into employee values(3,'manish','india')
insert into employee values(4,'manish','india')
insert into employee values(5,'manish','india')
insert into employee values(6,'manish','india')
insert into employee values(7,'manish','india')
create table employee_resign (
id int
)
insert into employee_resign values(1)
insert into employee_resign values(2)
insert into employee_resign values(3)
create procedure emp_delete @id int as
delete from employee where id=@id
exec emp_delete @id=1
select * from employee
select * from employee_resign
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what we have covered in this video:
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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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