Data Mashup with M
Language

Overview

Microsoft Power Query provides a powerful “get data” experience for PowerBI that encompasses many features. A core capability of Power Query is to filter and combine, that is, to “mash-up” data from one or more of a rich collection of supported data sources. Any such data mashup is expressed using the Power Query Formula Language (informally known as “M”). Power Query embeds M documents in PowerBI reports/dashboards to enable repeatable mashup of data.

Course Objective

This three-day course is designed to equip participants with a comprehensive understanding of data mashups using the Power Query M Language in Microsoft Power BI. The course covers foundational knowledge of T-SQL querying, multiple-table joins, and gradually advances into the core structure and functionalities of M Language. By the end of the course, participants will be able to write and understand M code, structure complex data mashups, handle errors, and create efficient, repeatable data transformation processes within Power BI. This course also provides deep insights into M Language syntax, types, operators, and functions, ensuring learners are well-prepared to build powerful and maintainable data queries.

Who Should Attend

  • Business Intelligence (BI) professionals looking to deepen their Power BI capabilities

  • Data analysts and developers responsible for preparing and transforming data

  • Report developers seeking to automate and enhance data loading in Power BI

  • SQL users aiming to transition into Power BI and Power Query

  • IT professionals interested in learning M Language to support Power BI implementations

Prerequisites

  • Basic understanding of databases and data structures

  • Familiarity with SQL and basic querying using SELECT statements

  • Experience using Power BI or any data visualization/reporting tool is recommended

  • No prior experience with M Language is required, though some exposure to Power Query will be beneficial

Analyzing Data with MS Excel

Training Calendar

Intake

Duration

Program Fees

Inquire further

3 Days

Contact us to find out more

Module


• Introducing T-SQL
• Understanding Sets
• Understanding Predicate Logic
• Understanding the Logical Order of Operations in SELECT
Statements


• Writing Simple SELECT Statements
• Eliminating Duplicates with DISTINCT
• Using Column and Table Aliases
• Writing Simple CASE Expressions


• Understanding Joins
• Querying with Inner Joins
• Querying with Outer Joins
• Querying with Cross Joins and Self Joins


• Overview
• Expressions and Values
• Evaluation
• Functions
• Library
• Operators
• Metadata
• LET Expression
• IF Expression
• Errors


• Documents
• Grammar Conventions
• Lexical Analysis
• Whitespace
• Comments
• Tokens
• Literals
• Identifiers
• Keywords
• Operators and Punctuators


• Values
• Expressions
• Environment and variables
• Order of Evaluation
• Side Effects
• Immutability


• Null
• Logical
• Number
• Time, Date and DateTime
• Duration
• Text
• Binary
• List
• Record
• Table
• Function
• Type


• Primitive Types
• Any Types
• List Types
• Record Types
• Function Types
• Table Typtes
• Nullable Types
• Ascribed Type of a value
• Type equivalence and compatibility


• Operator Precedence
• Operators and metadata
• Structurally and Projection Operators
• Metadata Operator
• Equality Operators
• Relationsal Operators
• Conditional Logical Operators
• Arithmetic Operators
• Structure Combination
• Unary Operators
• Type Operators


• Writing Functions
• Invoking Functions
• Parameters in Functions
• Recursive Functions
• Closures
• Functions and Environments
• Simplified Declarations


• Raising Errors
• Handling Errors
• Error in Record and LET initializers
• Not Implemented Error
• Document Linking
• Document Introspection

FAQs

Q: What is the Data Mashup with M Language course about?
This course introduces participants to Power Query’s M Language in Power BI, focusing on creating repeatable and efficient data mashups from various sources. Participants will learn to write and structure M code, work with expressions, functions, types, and operators, and handle errors for more advanced data transformation workflows.

Q: Who should attend this course?
Business intelligence professionals, data analysts, Power BI users, SQL developers, and IT professionals who want to enhance their data transformation and mashup skills using M Language in Power BI.

Q: What are the prerequisites for this course?
Participants should have a basic understanding of databases, familiarity with SQL (especially SELECT queries), and some experience using Power BI or similar reporting tools. Prior experience with M Language is not required.

Q: How long is the course?
The course lasts for 3 days.

Q: What key topics are covered in this course?
Introduction to T-SQL querying fundamentals
Combining data using joins and multi-table queries
Understanding M Language expressions, values, and functions
Working with data types, operators, and metadata in M
Writing and invoking custom functions
Handling errors and using LET and IF expressions
Understanding lexical structure and document linking

Q: Will I receive a certification after completing the course?
No formal certification is provided, but participants will gain hands-on skills and practical knowledge to perform complex data mashups in Power BI using M Language.

Q: What foundational data modeling and DAX concepts will I learn in this course?
You’ll learn how to build effective data models in Power BI, create relationships between tables, and apply DAX functions to perform calculations and enhance data analysis for dashboards and reports.

Q: How does the course prepare me to align data modeling with business intelligence goals?
The course teaches you to use DAX to create dynamic metrics, perform time-based analysis, and design data structures that support strategic decision-making and meaningful business insights.

Q: What skills will I develop in analyzing and transforming data?
You’ll gain hands-on skills in creating calculated columns and measures, managing filter context, formatting and sorting data, building hierarchies, and writing expressions using DAX for complex calculations.

Q: Will I learn how to apply DAX across different tables and time periods?
Yes. The course covers cross-table calculations, comparisons over previous and parallel time periods, rolling aggregations, and time intelligence functions using custom date tables.

Q: How does the course address real-world reporting and dashboard needs?
You’ll learn to prepare and structure data for interactive dashboards, apply advanced filters, rank and percentage calculations, and use Power BI features to support flexible and dynamic reporting.

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