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The Definitive Guide to Power Query (M)

You're reading from  The Definitive Guide to Power Query (M)

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781835089729
Pages 758 pages
Edition 1st Edition
Languages
Authors (3):
Gregory Deckler Gregory Deckler
Profile icon Gregory Deckler
Rick de Groot Rick de Groot
Profile icon Rick de Groot
Melissa de Korte Melissa de Korte
Profile icon Melissa de Korte
View More author details

Table of Contents (19) Chapters

Preface Introducing M Working with Power Query/M Accessing and Combining Data Understanding Values and Expressions Understanding Data Types Structured Values Conceptualizing M Working with Nested Structures Parameters and Custom Functions Dealing with Dates, Times, and Durations Comparers, Replacers, Combiners, and Splitters Handling Errors and Debugging Iteration and Recursion Troublesome Data Patterns Optimizing Performance Enabling Extensions Other Books You May Enjoy
Index

Type detection

Your first interaction with datatypes in Power Query is likely when you import data. Your data often comes in the form of a table, and the columns for the table can have a data type. When using the default settings, Power Query automatically recognizes the data types of any tables you import. Yet, how Power Query detects the data types of the values in your dataset will depend on the data source used and your Power Query settings. There are two available methods:

  • Retrieving data types from data sources
  • Automatically detecting types

The following sections look at how these two methods work.

Retrieving data types from a data source

When you import data from a structured data source (e.g., SQL, Oracle, Azure Data Lake, OData feed, etc.), Power Query automatically accesses the table schema from these sources. This table schema is only available in structured data sources and defines the structure of tables in a database. It contains information...

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