Learn the fundamentals of Tabular Editor to streamline model development in Power BI. This course covers essential features, helping you optimize tabular models, automate tasks, and enhance data analysis efficiency.
Tabular Editor is a powerful tool for managing and optimizing tabular models in Microsoft Power BI and Analysis Services. This course provides an introduction to its key features, helping users streamline model development, improve efficiency, and enhance data analysis capabilities. Whether you're looking to simplify DAX calculations, automate tasks, or gain better control over your data models, this course will equip you with essential knowledge to get started.
Course Outline ( Free Preview)
Module 00 - What You Need to get Started
Module 01 - Introduction
Unlock the power of Tabular Editor, a powerful tool for managing and optimizing your tabular models. In this introductory module, you'll explore the core functionality of Tabular Editor and its role in streamlining data modeling workflows. Gain insight into how this tool can help you make advanced customizations, automate repetitive tasks, and improve the efficiency of your data modeling process.
Module 02 - What is Tabular Editor
In this Module, you will explore the foundational concepts of Tabular Editor. Learn about its purpose, capabilities, and how it fits into the broader context of working with tabular models. This module sets the stage for understanding why Tabular Editor is a powerful tool for data modeling and analysis.
Module 03 - Navigating Tabular Editor12 min.
In this Module, you will get familiar with the Tabular Editor interface and its key features. Discover how to navigate the tool effectively to streamline your workflow. This module provides an overview of essential navigation techniques to help you work confidently within Tabular Editor.
Module 04 - Errors and Warnings12 min.
In this module, you’ll learn how to identify and resolve errors and warnings in Tabular Editor. Understanding these messages helps ensure your models function correctly and efficiently. You'll also explore best practices for troubleshooting common issues.
Module 05 - DAX Formatting and Code Actions15 min.
In this module, you’ll explore DAX formatting and code actions in Tabular Editor to improve readability and maintainability. Learn how to apply consistent formatting, use built-in code actions, and streamline your DAX development process. These techniques will help you write cleaner, more efficient calculations.
Module 06 - Editing Object Metadata13 min.
In this module, you’ll learn how to edit object metadata in Tabular Editor to better organize and manage your tabular models. Understanding metadata allows for improved model structure, easier navigation, and enhanced documentation. You'll also explore best practices for maintaining consistency across your data models.
Module 07 - Vertipaq Analyzer10 min.
In this module, you’ll explore the VertiPaq Analyzer in Tabular Editor to assess and optimize model performance. Learn how to analyze memory usage, identify inefficiencies, and make data-driven improvements. These insights will help you create faster and more efficient tabular models.
Module 08 - Managing Partitions (M Query)5 min.
In this module, you’ll learn how to manage partitions using M Query in Tabular Editor. Understanding partitioning helps improve performance by optimizing data loading and processing. You'll also explore best practices for efficiently handling large datasets.
Module 09 - Class Wrap Up1 min.
Congratulations on completing the Introduction to Tabular Editor course! You’ve learned essential skills to manage, optimize, and enhance tabular models, from handling errors to improving performance. Keep exploring and applying these techniques to refine your workflows and make the most of Tabular Editor in your data projects.
Nick has been a dedicated trainer and consultant since 2018, leveraging his extensive experience working with major companies, including Fortune 200 corporations, professional sports organizations, government entities, and leading firms in the finance and healthcare sectors. With a specialized focus on Power BI and data engineering, Nick has consistently demonstrated his ability to drive data-driven decision-making and optimize business processes. His commitment to excellence and his in-depth technical expertise have made him a trusted advisor and sought-after expert in the industry.
