Fix Mixed Model Paginated Report

@ashinnd84

Hello there, we are a team of developers and we can do this project in no time. Thanks Ashish Kumar.

@gunjan1711

- I have hands-on experience working with Power BI semantic models, data modeling, DAX, Power Query, and multi-source reporting environments. - I can investigate the interaction between Dataverse and Azure Databricks data sources, identify the root cause of the blank paginated report behavior, and implement a maintainable fix. - My experience includes troubleshooting Power BI refresh issues, data model relationships, query performance, and reporting inconsistencies across integrated data sources. - In a recent project, I developed a PHP API, integrated database data into Power BI, and created automated real-time dashboards for business reporting. - I have also worked with Power BI data models connected to multiple sources and understand the challenges around composite models, DirectQuery, Import mode, and report-layer dependencies. - I can validate Databricks field exposure, review model configuration, analyze query behavior, and ensure existing Dataverse logic remains unaffected. - The final deliverables will include the updated semantic model, a fully functioning paginated report, and concise documentation explaining the implemented solution and maintenance steps. - My focus is on resolving the issue quickly while maintaining model performance and long-term stability. Reference work is available in my profile.

@WiredAI

Hi, I can help fix this quickly. I’ve worked with Power BI semantic models, paginated reports, Dataverse, and Azure Databricks, including composite model and DirectQuery/Import issues. I’ll identify what’s causing the RDL to return blank, update the semantic model, and make sure both Dataverse and Databricks fields render correctly without breaking existing measures or visuals. Available to start right away and can keep you updated throughout the process. Thanks, WiredAI Ventures

@erens42

Hello, I understand your Power BI semantic model was originally built on Dataverse and was working correctly with a paginated report (RDL). After introducing Azure Databricks columns, the RDL now renders blank whenever it interacts with Databricks-derived fields, while Dataverse data continues to work normally. This is a classic issue in Power BI composite models, typically related to storage mode conflicts, XMLA metadata exposure, or DirectQuery/Import behavior differences between Dataverse and Databricks sources.

@anshikasingh05

Hi, I have experience with Power BI, SQL, data modeling, and data analytics. I understand the challenges that can occur when combining Dataverse and Azure Databricks data sources in a composite model. I can investigate the semantic model, relationships, DirectQuery/Import settings, and paginated report configuration to identify why the RDL report is rendering blank after adding Databricks fields. My approach: Review the semantic model and data source settings Check composite model limitations Validate XMLA endpoint connectivity Test DAX measures and relationships Ensure Databricks and Dataverse data work together correctly Provide documentation of the changes made I am available to start immediately and would be happy to discuss the details. Regards, Anshika Singh

@atharv27tiwari

Hi, I've worked through this exact failure pattern before — a composite model combining DirectQuery and Import sources where the XMLA endpoint doesn't correctly propagate credentials or query context to the paginated report layer. The RDL renders blank not because the data is missing, but because the report engine can't resolve the Databricks fields at render time. Here's how I'd approach this: 1. Diagnose the root cause first (credential propagation vs. relationship conflict vs. DirectQuery mode mismatch) — usually clear within 1–2 hours of reviewing the model. 2. Fix the semantic model — adjusting DirectQuery settings, confirming Databricks connectivity through the XMLA endpoint, and ensuring composite relationships don't break the RDL field bindings. 3. Verify the paginated report renders all fields correctly, cross-checked against your source Databricks table. 4. Hand off clear notes so your team can maintain it going forward without needing outside help. Existing Dataverse logic stays completely untouched unless a relationship issue forces a minor adjustment — in which case I'll flag it before making any change. Scope estimate: 8–12 hours depending on how the model is currently structured. If you can share the error message or a screenshot of what the RDL shows when it hits a Databricks field, I can give you a tighter estimate before we start. Ready to begin as soon as you are.

@sivalad

Dedicated junior software developer with US project experience in CSV data, SSRS, ETL, SQL procedures, RDL reports, and Power BI, Data visualization, Data Analysis, data integration, data modeling and Data warehousing.

@AndrasCzeitner

I will fix your composite model and RDL report immediately. I'll isolate the XMLA/DirectQuery bottleneck, fix credential chaining to Databricks, align storage modes, and optimize the DAX queries. You will receive a fully working PBIX/RDL setup with zero blanks and fast load times. Let's start!Your solution is as close as a clean and optimized composite data model. As an experienced BI and Data Engineer, adapting and resolving complex issues surrounding composite models and its associated components is my forte. I'm adept in evaluating DirectQuery vs Import settings, troubleshooting data source credentials, and effectively utilizing the XMLA endpoint to ensure zero-blanks visualizations. My proficiency in DAX queries aligned with my analytical thinking aids me in crafting the most efficient path for your problem.