Power BI Report using Shared Dataset [Detailed Step by Step]

ByHariharan Rajendran

Power BI Report using Shared Dataset [Detailed Step by Step]

In my previous post, I have explained the possibility of using SSRS shared dataset as a source for Power BI report. Refer my previous post here.

In this post, I am giving you the detailed step by step procedure to work with the shared dataset in Power BI.

Follow the below steps,

Step 1: Open Power BI Report Server portal URL. For example, the URL is like below.

http://localhost/Reports

Step 2: Add the following extension with the above URL. /api/v2.0/datasets. It will list out all the datasets with ID as like below.

http://localhost/Reports/api/v2.0/datasets

Step 3: Filter the dataset with ID. Here I used the second dataset id.

http://localhost/Reports/api/v2.0/datasets(datasetid)/data

My URL, http://lab/ReportsPBI/api/v2.0/datasets(ca502b81-c88d-4646-af32-ca08d9b4a1f4)/data

Step 4: Open Power BI Desktop and choose OData feed data connector

Step 5: Pass the above URL as like below.

Step 6: Choose advance and select “Include open type columns” checkbox to get all the columns of the dataset.

Step 7: Click Ok and select Edit Option on next screen.

Step 8: Select the icon near the “More Columns” as like below. It will list out all the columns.

Step 9: Uncheck the “Use original column name as a prefix” and click ok. Finally click “Close & Apply”.

Step 10: Choose the fields and create a report.

Thanks. Let me know if you face any issues.

About the Author

Hariharan Rajendran author

Hariharan Rajendran is a Microsoft Certified Trainer and Lead BI Solutions Consultant with 8+ years of experience in Database, BI and Azure platforms. Hariharan is also an active community leader, speaker & organizer and leads the Microsoft PUG (Power BI User Group – Chennai), SQLPASS Power BI Local Group – Chennai and an active speaker in SQL Server Chennai User Group and also a leader in Data Awareness Program worldwide events. Hariharan also frequently blogs (www.dataap.org/blog), provides virtual training (on ad-hoc basis) on Microsoft Azure, Database Administration, Power BI and database development to worldwide clients/audience.

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