How to create and manage tables in Power BI

Power BI also allows to create and manage datatable relationships.

Example 1

Consider the following relationship in Power BI desktop.

The “addresses” table is the main Data Table which has a one-to-one relationship with the “student” table. Here “student” table acts as a Lookup table holding all information regarding any student.

The key “student_id” from “addresses” table is linked to the “student” table.

Example 2

Consider another Power BI relationship as shown below. In this case, “student” table is the main Data table and “skill_description” is the lookup table which gives detailed information for any particular skill. ( skillId is the key used for the reference to skill_description table)

Data table: The following shows the main data table “student” with many columns as keys and also have quantitative columns values like “percentage”, “parent_salary” ,”marks”.

student_skill:

Skill description table: The following screenshot helps in understanding lookup tables as this holds information for any skill id as shown below. The “skillid” with value 1 is “SQL”, 2 is “ASP.NET” and so on.

Understanding Data Tables vs. Lookup Tables

Power BI Data Tables are like normal tables like Sales data tables with sales-related columns or information fields. It can have numeric values and quantitative values like total sales, loans taken, salary, and so on. They are also known as fact tables.

In this article, we will learn the basics of data tables further knowing their importance and basic features. It will also help in understanding the difference between Data Tables and Lookup Tables. The article will take you to the process of creating, importing, and managing data. Finally, we’ll show you how to customize and visualize data tables with others.

Similar Reads

DataTables

The data table contains rows and columns of data used for easy analysis and visualization of reports or charts. Each row represents a single record whereas each column represents a field or attribute for that record in the row....

Lookup Tables

Lookup tables are the tables that give detailed text-based information like the address, city, zip code, etc of any sales customer. The lookup tables do not contain numeric values, they are just used as reference tables holding detailed information at a granular for any id or key column. The key column is used to connect to the lookup table. It is the fundamental part of any data model or table design and serves as user-defined filtering tables effectively speeding up calculations in Power BI. Filters usually flow down from lookup tables to the main data tables....

Key benefits of Data tables and Lookup tables

Data modelling is the key feature which helps in creating and managing relationships between difeerent data tables and data sources, the extra text based information are associated with the help of lookup tables. They identify the correlations and dependencies helping to manage complex data sets visualizations and reporting These allow for easy filter and sorting of data. Also helps in analyzing data trends and patterns effectively helping in taking business decisions....

DataTables vs Lookup Tables

While data tables and lookup tables serve distinct purposes in Power BI, it is important to understand their key differences. Here are some of the main differentiating factors:...

Creating Data Tables and Lookup Tables

Relationships are essential for connecting data tables and lookup tables, allowing you to link transactional data with its corresponding contextual information. In Power BI, you can create relationships by dragging and dropping fields between tables....

How to create and manage tables in Power BI

Power BI also allows to create and manage datatable relationships....

Conclusion

Data tables are standard dimension tables and lookup tables helps in mapping key columns to detailed information. Data tables and lookup tables are fundamental components of data modeling in Power BI. Understanding their distinct roles and effectively implementing them is crucial for building robust, efficient, and scalable data models that support comprehensive data analysis and informed decision-making....

Contact Us