ETL, pipelines, architecture concepts
Prepare for your Azure Data Factory interview with 15 real questions and detailed answers. Covers pipelines, activities, metadata-driven patterns, incremental loading, error handling, triggers, and performance optimization.
Top 15 Azure Data Factory Interview Questions Every Data Engineer Should Know Read More »
Fix the most common Azure Data Factory and Synapse pipeline errors including BadRequest null, dataset function not valid, case sensitivity issues, permission errors, and more. Real solutions from production experience.
Common Azure Data Factory and Synapse Pipeline Errors: A Troubleshooting Guide Read More »
Build an incremental data loading pipeline in Azure Synapse using the watermark pattern. Copy only changed rows using config tables, delta queries, and stored procedures. Covers ID-based and date-based watermarks with real examples.
Incremental Data Loading in Azure Synapse: The Delta Copy Pattern with Watermark Tables Read More »
Build a metadata-driven pipeline in Azure Synapse Analytics with Parquet output and stored procedure audit logging. Track rows copied, duration, and errors for every table. Step-by-step guide with real-world examples.
Building a Metadata-Driven Pipeline in Azure Synapse Analytics with Audit Logging Read More »
Learn how to build a metadata-driven pipeline in Azure Data Factory using the Lookup, ForEach, and Copy pattern. Step-by-step guide with parameterized datasets, dynamic expressions, troubleshooting tips, and production best practices.
Building a Metadata-Driven Pipeline in Azure Data Factory: The Complete Guide Read More »
