Microsoft Azure Dynamic Pipelines |
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| © 2021 by IJCTT Journal | ||
| Volume-69 Issue-2 |
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| Year of Publication : 2021 | ||
| Authors : Sanjeev Kumar | ||
| DOI : 10.14445/22312803/IJCTT-V69I2P106 | ||
How to Cite?
Sanjeev Kumar, "Microsoft Azure Dynamic Pipelines," International Journal of Computer Trends and Technology, vol. 69, no. 2, pp. 41-45, 2021. Crossref, 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.