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What is Datasets in Azure Data Factory

In this article we will discussed about Datasets In Azure Data Factory.

Datasets in English:

In Azure Data Factory, a dataset is a named reference to the data that is being used as input or output in a data processing activity. It defines the structure, location, and format of the data that is being processed.
 
A dataset can represent various types of data sources such as files, databases, cloud storage, and other data stores. It contains information such as the file path, folder location, and file type of the source data.
 
Azure Data Factory uses datasets to define the data sources and destinations for the activities in a pipeline. Activities can then use these datasets to read or write data to or from the specified data sources.
 
Datasets are defined using JSON and can be created, modified, and deleted using Azure Data Factory's graphical user interface or REST API.
 

Datasets in Hindi:

Azure Data Factory me, dataset ek naam se joda gaya data ka reference hota hai jo ki data processing activity ke input ya output ke roop me upyog kiya jata hai. Yah data ka structure, location aur format ko define karta hai, jo ki processing ke dauran istemal kiya jata hai.

Dataset alag-alag tarah ke data sources ko darshata hai jaise ki files, databases, cloud storage aur anya data stores. Isme source data ki file path, folder location aur file type jaisi jaankari hoti hai.
 
Azure Data Factory dataset ka upyog pipelines me activities ke data sources aur destinations ko define karne ke liye kiya jata hai. Activities fir in datasets ko upyog karke specific data sources se data read ya write kar sakte hai.
 
Datasets ko JSON ka upyog karke define kiya jata hai aur ise Azure Data Factory ke graphical user interface ya REST API ka upyog karke create, modify aur delete kiya ja sakta hai.
 
 

Thank You

About Author

Brijesh Kumar

Database Developer

I have more then 6 years Experience in Microsoft Technologies - SQL Server Database, ETL Azure Cloud - Azure SQL Database, CosmosDB, Azure Data Factory, PowerBI, Web Job, Azure Function, Azure Storage, Web Apps, Powershall and Database Migration On-Premise to Azure Cloud.
LinkedIn : https://www.linkedin.com



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06-Nov-2018
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