Azure Data Factory for Beginners - Build Data Ingestion - Closing Remarks - Metadata-Driven Ingestion

The video tutorial discusses the development of a generic data ingestion platform, emphasizing the importance of starting with a simple design and gradually tailoring it to specific needs. The instructor explains the decision to use files instead of databases for simplicity and outlines the potential for expanding the framework to support various file types. The tutorial encourages viewers to adapt the framework for their own environments, leveraging the dynamic capabilities of data factory. The instructor, Tulani, concludes by inviting viewers to apply the concepts learned to design new frameworks.

What is a common development pattern when starting a complex system?

• Design for multiple environments simultaneously.

• Start with a generic design and gradually tailor it to specific needs.

• Begin with a specific design and expand to a generic one.

• Focus on the most complex aspects first.

Why did the designer choose to start with files instead of databases?

• Databases are not supported by the framework.

• Files are the only option for data storage.

• Files allow for a more straightforward initial implementation.

• Files are more complex to handle.

What does the schema from the column relative path schema store?

• Database connections.

• Table schema and technical names.

• User credentials.

• Only file paths.

How can the data object type column be utilized?

• To store database credentials.

• To store only JSON files.

• To store various file types like XML and CSV.

• To store user data.

What is suggested for future development of the ingestion platform?

• Discontinue the platform.

• Keep the platform unchanged.

• Adapt the framework for different file types and environments.

• Focus solely on JSON files.