Azure Data Factory
Azure Data Factory is a popular cloud-based ETL and data integration service that allows you to create workflows for moving and transforming data at scale. Automating execution from within Azure Data Factory creates an additional island of automation for IT Operations to manage. This allows you to easily integrate Azure Data Factory pipelines with your existing enterprise workload automation solution. Simply define your pipelines within Azure Data Factory and allow your enterprise workload automation solution to manage the scheduling of these workflows. You are instantly inheriting the advanced capabilities of your enterprise solution to deliver your digital transformation quicker and more successfully. By extending your existing enterprise automation to Azure Data Factory you maintain end-to-end visibility, regain centralized command and control, alerting, SLA management, reporting and auditing.
Benefits and Use Cases
- Gain centralized control and visibility over pipeline execution.
- Define and trigger Azure Data Factory pipelines to automate complex data movement and transformation tasks.
- Orchestrate data workflows across hybrid and multi-cloud environments.
- Enforce governance and ensure consistency in data operations across the organization.
Example Use Case: Consolidate Data for Analytics
Integrate data from multiple sources such as relational databases, flat files, and APIs, into a single data store for analysis.
Automic Features
- Run and Monitor Azure Data Factory pipelines to completion
- Restart Azure Data Factory pipelines from failed activity
- View execution log for problem diagnosis
- Alert on failure of Azure Data Factory pipelines
- Incorporate Azure Data Factory processing in existing enterprise automation workflows including dependency enforcement