1:1 Data Engineering Guidance

1. Understanding the Basics:

· Azure Fundamentals: Ensure they have a strong understanding of Azure services, especially those related to data engineering, like Azure Data Factory, Azure Data Lake, Azure SQL Database, etc.

· Databricks Basics: Cover the fundamentals of Databricks, including clusters, notebooks, libraries, and data storage.

2. Hands-On Practice

3. Data Engineering Concepts:

· Data Modeling

· ETL Processes

· Data Warehousing

4. Optimization and Performance

5. Collaboration and Version Control

6. Monitoring and Maintenance

7. Feedback and Support