International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 69 | Issue 2 | Year 2021 | Article Id. IJCTT-V69I2P106 | DOI : https://doi.org/10.14445/22312803/IJCTT-V69I2P106

Microsoft Azure Dynamic Pipelines

Sanjeev Kumar

Received Revised Accepted
21 Dec 2020 04 Feb 2021 07 Feb 2021

Citation :

Sanjeev Kumar, "Microsoft Azure Dynamic Pipelines," International Journal of Computer Trends and Technology (IJCTT), vol. 69, no. 2, pp. 41-45, 2021. Crossref, 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

References

[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.