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Query folding can mean the difference between a 2-minute refresh and a 25-minute timeout on large datasets. This lesson teaches you to diagnose folding breaks, restructure queries to preserve them, and use Value.NativeQuery for precise native SQL control — with production-ready patterns throughout.
Full refreshes at scale are a performance disaster — but Power Query gives you the tools to build watermark-based incremental pipelines that only process what's actually changed. This lesson walks through the complete architecture: persistent state, upsert merging, late-arrival handling, and failure recovery.

Master Power Query's most powerful patterns for complex data transformations. Learn List.Generate, List.Accumulate, and recursive functions to solve problems that standard operations can't handle.

Master advanced M language patterns to create maintainable, performance-optimized function libraries that transform how your team works with Power Query across projects.

Master the performance patterns that make M Language queries blazingly fast and eliminate the anti-patterns that kill query folding. Learn memory management, join optimization, and debugging techniques for production-ready Power Query solutions.

Master Power Query's M language functions for parsing and transforming JSON and XML data into analysis-ready tables. Learn practical techniques for handling nested structures, missing fields, and common data quality issues.

Master sophisticated techniques for processing semi-structured data in M, including recursive navigation, namespace handling, performance optimization, and building resilient transformation pipelines for production systems.

Master complex semi-structured data transformations with defensive navigation, performance optimization, and real-world multi-source integration patterns in M.

Learn to create Power Query transformations that adapt based on parameters, building reusable data processing engines that scale across different scenarios and requirements.

Master advanced error handling in M language with comprehensive strategies for building robust, production-grade Power Query solutions that gracefully handle failures and adapt to changing data conditions.

Master sophisticated table manipulation in Power Query M including custom aggregations, complex joins, and dynamic transformations for professional data analysis workflows.

Master the fundamental list and record operations in Power Query's M language. Learn to transform nested data, select specific elements, and combine complex data structures with practical, real-world examples.