Advanced Power BI Development

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About Course

Your Journey to Mastery: Go beyond the basics and start engineering enterprise-grade data solutions. Master the “M” Language, optimize DAX for speed, and handle massive datasets with professional performance tuning.

Level 1: The Architecture (Advanced Modeling) Move beyond standard schemas and learn to handle complex data realities. You will master Many-to-Many relationships, implement composite models to mix data sources, and use aggregations to make petabyte-scale data respond instantly.

Level 2: The Code (DAX & M Mastery) Stop copying code and start writing it. specific Deep dive into the “M” language for custom ETL logic, and master advanced DAX concepts like Context Transition and Virtual Relationships to solve the hardest business problems.

Level 3: The Optimization (Performance & Security) Ensure your reports are fast, secure, and scalable. You will learn to diagnose slow reports using DAX Studio, implement dynamic Row-Level Security (RLS) for user access, and manage enterprise deployment pipelines.

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What Will You Learn?

  • Master Data Modeling for Scale:
  • Move beyond simple Star Schemas. Learn to handle complex scenarios like Many-to-Many relationships and role-playing dimensions correctly.
  • Implement Composite Models (mixing DirectQuery and Import mode) for massive datasets.
  • Utilize Aggregations to make petabyte-scale data respond instantly.
  • The Art of Performance Tuning:
  • Why is your report slow? Learn to use the Performance Analyzer and external tools like DAX Studio to diagnose bottlenecks.
  • Understand the VertiPaq engine under the hood to optimize compression and query speed.
  • DAX Mastery (The "Black Box"):
  • Deep dive into Evaluation Context: Mastering Row Context vs. Filter Context and the crucial concept of Context Transition.
  • Write complex patterns for advanced Time Intelligence (e.g., "Moving Averages across non-standard calendars").
  • Master iterator functions (SUMX, FILTER) and variables for optimized code.
  • Advanced Power Query & The "M" Language:
  • Go behind the GUI. Learn to read and write raw M code.
  • Create robust Custom Functions to automate complex ETL logic across multiple sources.
  • Implement Incremental Refresh to handle large data loads efficiently in the Service.
  • Enterprise Deployment & Security:
  • Implement robust Row-Level Security (RLS) (static and dynamic) to ensure users only see their data.
  • Manage On-premises Data Gateways for connecting cloud reports to local servers.
  • Introduction to Application Lifecycle Management (ALM) and deployment pipelines.

Course Content

Module 1:The Business Analyst’s Toolkit (Essential DAX)
Goal: Master the "Day-to-Day" functions required to answer common business questions like "How did we perform compared to last year?"

  • The Golden Rule of Math (DIVIDE & IF)
  • The Engine of Power BI (CALCULATE)
  • Controlling the Context (ALL & ALLSELECTED)
  • Time Intelligence Made Easy (TOTALYTD & SAMEPERIODLASTYEAR)
  • Dynamic Categorization (SWITCH vs. Nested IFs)

Module 2:The Engineer’s Logic (Advanced DAX Patterns)
Goal: Solve complex problems that standard functions can't handle. This module focuses on optimization (VAR) and row-by-row logic (Iterators).

Module 3: The Professional Portfolio (Capstone Projects)
Goal: Apply the DAX from Modules 1 & 2 to build three complete, industry-standard dashboards.

Module 4: Optimization, Security & Enterprise Scale
Goal: Transition from a "Report Builder" to a "Platform Architect." Ensure your reports load instantly, scale to millions of rows, and are secure for executive viewing.

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