Q1. What do we need Azure Data Factory for?
Data forms the backbone of every business, whether it’s a global enterprise or a budding
startup, requiring a reliable, secure, and easily accessible data source.
Azure Data Factory provides a robust data integration platform from Microsoft, enabling the
creation and deployment of data transformations in minutes instead of hours.
It empowers users to effortlessly connect to diverse data sources, automating and
orchestrating data integration workflows with ease.
With its capability to transform data formats seamlessly, Azure Data Factory simplifies
complex workflows, streamlining operations and enhancing efficiency.
Q2. What is Azure Data Factory?
Azure data factory is a fully managed service for data integration, data transformation, and
data warehousing. Azure data factory can be used to connect to on-premises databases, on
premises data warehouses, cloud services, and other services.
With ADF, you can easily create, manage, and orchestrate a wide range of data integration
scenarios. it also provides a visual interface for data movement, allowing you to build
workflows with ease.
Q3. What are the main components of ADF?
1. Pipelines: Group of activities performing a task.
2. Activities: Individual steps in a pipeline (e.g., Copy, Lookup).
3. Datasets: Metadata definitions pointing to data structures.
4. Linked Services: Connection strings for external sources.
5. Integration Runtimes (IRs): Compute environments.