Faster Tally Reporting. No Complex Keys Required!
Many Power BI users struggle with:
✅ Implementing Row-Level Security (RLS) for user-based access control
✅ Understanding Filter Context & Row Context in DAX calculations
✅ Applying Advanced Filters to optimize reports & dashboards
Your training can simplify these concepts and provide practical application using TurboData for real-world use cases.
📅 Duration: 2-3 hours live training (or pre-recorded modules)
💲 Price: $150 per attendee
🎓 Format: Hands-on session with real dataset examples using TurboData
🔹 What is Row Context vs. Filter Context?
🔹 How Power BI applies filters dynamically
🔹 Importance of Context in DAX Calculations
🔹 Demo: Impact of filtering on SUM, CALCULATE, and RELATEDTABLE
🔹 How to restrict data access per user role
🔹 Setting up Static vs. Dynamic Row-Level Security
🔹 Using USERPRINCIPALNAME() to filter data dynamically
🔹 Demo: Restricting Sales Data by Region in Power BI
📌 Hands-On Exercise:
Assign role-based permissions using Power BI Service
Use TurboData API to integrate real-time security filters
🔹 How Filter Context affects measures in Power BI
🔹 Using CALCULATE, FILTER, and ALL functions
🔹 Overriding filters with ALL, ALLEXCEPT, and REMOVEFILTERS
🔹 Demo: How filter context impacts SUMX, AVERAGEX, and RANKX
📌 Hands-On Exercise:
Create Filtered Sales Report based on Product Categories
Apply Dynamic Filtering Using DAX
🔹 Using Parameters & Dynamic Filters in Dashboards
🔹 Creating Custom Filters Using Slicers & DAX
🔹 Using TurboData API with Power BI for Advanced Row-Level Filters
🔹 Demo: Dynamic filtering using Bookmarks & Role-Based Visibility
📌 Hands-On Exercise:
Apply Cross-Filtering Between Visuals
Use RLS with Dynamic User Login in Power BI
💡 High-Value, Niche Topic: Focuses on security & performance optimization (high demand)
📊 Business & Enterprise Appeal: Ideal for Finance, Sales, and Data Teams needing RLS solutions
✅ Includes Live Q&A + Hands-On Exercises
✅ Real-world DAX Scenarios & TurboData Use Cases
✅ Certification of Completion (Optional, to add extra value)