Azure Data Factory for Beginners - Build Data Ingestion - Introduction to ADF (Azure Data Factory)

The video introduces Azure Data Factory (ADF) as a tool for creating workflows to transform and orchestrate data movement. It explains the need for data movement in organizations and how ADF facilitates this through strategic events and orchestration. ADF is described as an ETL tool for the Azure cloud, offering code-free operations and being available as a SaaS. The video covers ADF's operations, including ingest, control flow, data flow, scheduling, and monitoring, and concludes with a transition to practical application.

What is the primary function of Azure Data Factory?

• To create workflows for data transformation and orchestration

• To develop mobile applications

• To create websites

• To manage cloud storage

In the context of ADF, what does orchestration involve?

• Designing user interfaces

• Managing dependencies of workflows and data pipelines

• Creating marketing strategies

• Developing software applications

How is Azure Data Factory commonly referred to due to its ease of use?

• A complex data management tool

• A code-free ETL as a service

• A manual data processing system

• A hardware-intensive platform

Which operation in ADF is responsible for collecting and loading data?

• Data flow

• Control flow

• Ingest

• Monitor

What is the next step after the theoretical introduction to ADF?

• Learning about another cloud service

• Reviewing the theory again

• Creating the first Azure Data Factory job

• Taking a break