Microsoft Azure Dynamic Pipelines

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2021 by IJCTT Journal
Volume-69 Issue-2
Year of Publication : 2021
Authors : Sanjeev Kumar
  10.14445/22312803/IJCTT-V69I2P106

MLA Style: 
Sanjeev Kumar. "Microsoft Azure Dynamic Pipelines." International Journal of Computer Trends and Technology, vol. 69, no. 2, Feb. 2021, pp.41-45. Crossref https://doi.org/ 10.14445/22312803/IJCTT-V69I2P106

APA Style:   
Sanjeev Kumar  
(2021). Microsoft Azure Dynamic Pipelines. International Journal of Computer Trends and Technology , 69(2), 41-45. https://doi.org/ 10.14445/22312803/IJCTT-V69I2P106

Abstract
Azure Data Factory is a cloud-based data integration service that allows you to create data-driven workflows in the cloud for orchestrating and automating data movement and data transformation. Azure Data Factory does not store any data itself. It allows you to create data-driven workflows to orchestrate the movement of data between supported data stores and the processing of data using compute services in other regions or in an on-premise environment. It also allows you to monitor and manage workflows using both programmatic and UI mechanisms.

Keywords
Azure ADF, Cloud Computing, Data Factory pipelines

Reference
[1] https://docs.microsoft.com/en-us/azure/datafactory/#:~:text=Azure%20Data%20Factory%20is%20Azure's,with %20full%20compatibility%20in%20ADF.
[2] https://docs.microsoft.com/en-us/azure/data-factory/introduction.