When working with related tables in Power BI, understanding how to use the DAX functions RELATED and RELATEDTABLE is essential. These functions help you leverage relationships between tables, enabling you to retrieve or aggregate data efficiently. In this blog, we’ll explore how these functions work and demonstrate how to create an aggregated column with RELATEDTABLE.
1.
Using RELATED in Power BI
What
is RELATED?
The RELATED function is used to
retrieve a value from a related table based on the relationship defined in the
data model.
Syntax:
RELATED(<columnName>)
Example: Suppose you have two tables:
- Orders:
Contains order details including a foreign key CustomerID.
- Customers:
Contains customer information, including the CustomerName
column.
To add a calculated column in the Orders
table that fetches the customer’s name:
Customer
Name = RELATED(Customers[CustomerName])
This formula pulls the CustomerName from the Customers table into the Orders
table.
Key Points:
- RELATED works with one-to-many or many-to-one
relationships.
- Ensure that the relationship between tables is properly
established in the model.
2.
Using RELATEDTABLE in Power BI
What
is RELATEDTABLE?
The RELATEDTABLE function retrieves
an entire table of related rows from another table. It is often used with
aggregation functions like SUM, COUNT, or AVERAGE to calculate metrics across
related rows.
Syntax:
RELATEDTABLE(<tableName>)
Example: Suppose you have two tables:
- Orders:
Contains order details, including the foreign key CustomerID.
- Customers:
Contains customer information.
To calculate the number of orders for
each customer in the Customers table:
Order
Count = COUNTROWS(RELATEDTABLE(Orders))
This formula returns the count of
orders associated with each customer.
Key Points:
- RELATEDTABLE works with one-to-many
relationships.
- It returns a table that can be used with aggregation
functions.
3.
Creating an Aggregated Column with RELATEDTABLE
Let’s explore how to use
RELATEDTABLE to create a column that aggregates values from a related table.
Scenario: You want to calculate the total order amount for each
customer.
Steps:
- In the Customers table, create a new calculated
column.
- Use RELATEDTABLE to fetch all rows from the Orders
table related to each customer.
- Apply the SUM function to calculate the total order
amount.
DAX Formula:
Total
Order Amount = SUMX(RELATEDTABLE(Orders), Orders[OrderAmount])
Explanation:
- RELATEDTABLE(Orders)
retrieves all rows from the Orders table related to the current
customer.
- SUMX iterates
through these rows and sums the OrderAmount for each customer.
Result: Each customer in the Customers table will have a
calculated column showing their total order amount.
4.
Best Practices and Tips
- Model Relationships:
Ensure relationships between tables are correctly defined in the data
model to avoid errors.
- Performance Considerations: When working with large datasets, optimize
calculations to improve performance.
- Use Measures for Aggregations: Prefer measures over calculated columns for better
flexibility and performance.
Conclusion
The RELATED and RELATEDTABLE
functions are powerful tools for leveraging relationships in Power BI. They
enable you to perform complex lookups and aggregations across tables, enhancing
your ability to create insightful reports. By mastering these functions, you
can unlock the full potential of your data model.
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