May 11, 2024
3 minute read
Tabular Modeling is a powerful data modeling technique that enables users to create data models for analysis and reporting purposes. It involves organizing data into tables, columns, and rows, and defining relationships between them. Tabular models are commonly used in business intelligence (BI) and data warehousing applications, where they provide a structured and efficient way to store and manage large volumes of data.
Why Learn Tabular Modeling?
There are several reasons why you might want to learn Tabular Modeling. These include:
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Find a path to becoming a Tabular Modeling. Learn more at:
OpenCourser.com/topic/n0d3n9/tabular
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Tabular Modeling.
Comprehensive guide to tabular modeling with Microsoft Power BI. It covers all aspects of tabular modeling, from data modeling to creating measures and calculated columns.
Deep dive into DAX, the data modeling language used in Power BI and Power Pivot. It covers everything from basic DAX concepts to advanced techniques like time intelligence and calculated tables.
Collection of DAX patterns that can be used to solve common data modeling problems.
Quick start guide to Power BI Desktop. It covers all the basics of Power BI, from importing data to creating reports and dashboards.
Guide to performance tuning Power BI reports and dashboards.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/n0d3n9/tabular