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TABLE OF CONTENTS16 sections

Data Integration & Power Query

01Data Integration & Power Query 02Data Integration And Business Intelligence Foundations 03Power Query Architecture And Workflow 04Data Sources Connectors And Access Modes 05Data Profiling And Quality Assessment 06Core Data Cleaning And Transformation 07Reshaping And Business Ready Structures 08Combining Data With Merges And Appends 09Power Query M Language Fundamentals 10Parameters Custom Functions And Reusable Pipelines 11Dates Time Text And Business Logic 12Errors Validation And Testing 13Performance Query Folding And Refresh Architecture 14Governance Security Ethics And Lifecycle Management 15Enterprise Delivery Fabric And Emerging Practices 16Applied Business Integration Project

Chapter 9

Parameters Custom Functions And Reusable Pipelines

PREVIOUS SECTIONPower Query M Language Fundamentals UP NEXTDates Time Text And Business Logic

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