AZURE DATA FACTORY TRAINING WITH REAL TIME SCENARIOS

Master Azure Data Factory (ADF): Real-World Scenarios & Interview Prep

This comprehensive course dives deep into Azure Data Factory, equipping you with the practical skills to build robust data pipelines. We'll cover everything from foundational concepts to advanced techniques, focusing on real-time scenarios and frequently asked interview questions.

Key Topics Covered:

• Data Movement & Transformation:

  • Copy Data: Learn to efficiently copy data between various sources and destinations, including Azure Data Lake Storage Gen2 (ADLS Gen2), Azure SQL Database, and Snowflake.
  • Filtering Data: Master the use of the Filter Activity to selectively copy specific files based on criteria.
  • Multiple Filter Activities: Implement complex filtering logic for targeted data extraction.
  • Data Migration: Migrate data from On-Premise SQL Server to Azure SQL, and from On-Premise SQL Server to ADLS.
  • Table Migration: Migrate tables with specific columns from Azure SQL to ADLS.
  • Data Consolidation: Combine data from multiple ADLS containers into single or multiple tables within Azure SQL.
  • BLOB Container Handling: Copy individual files from BLOB containers to ADLS Gen2.
  • File Manipulation: Move CSV files from BLOB containers to ADLS Gen2.
  • Conditional Copying: Copy files based on filename patterns (e.g., files starting with a specific prefix).
  • Pattern Matching: Implement sophisticated copy only required files scenarios using pattern matching.
  • Flatten, Merge & Preserve Hierarchy: Understand and apply different copy behavior options for data transformation.

• Advanced ADF Concepts:

  • Fault Tolerance: Implement robust error handling with LOG_ERROR_INFO_COPY_DATA_ACTIVITY.
  • Merge Operations: Learn to perform merge operations within Azure Data Factory.
  • JSON Handling: Load Nested JSON as CSV files.
  • Precedence Constraints: Understand and utilize Precedence Constraints for pipeline control.
  • Parameterization: Implement parameterization for flexible and reusable pipelines.
  • Slowly Changing Dimensions (SCD): Implement both Type-1 and Type-2 Slowly Changing Dimension patterns – a very important scenario.

• Interview Preparation: This course is designed to prepare you for real-world Azure Data Factory interview questions. We'll cover scenarios commonly encountered in job interviews.

Get Hands-On:

We encourage you to create a free Azure account (one-month free trial available) and practice alongside us. Don't hesitate to ask questions – we're here to help you succeed! Demonstrate your expertise in Azure Data Factory and boost your career prospects.