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Mastering Power BI
Power BI
New Release

Mastering Power BI

A Hands-On Guide to Power Query, Data Modeling, DAX, Dashboard Design, Governance, and Enterprise BI — with Four Complete Projects

by Krish Naidu

130 pages English 1st Edition
₹300+ 18% GST
Secure online reader — no downloads. Access anytime from your dashboard.

About This Book

Mastering Power BI is a hands-on, end-to-end guide designed to take learners from Power BI fundamentals to professional and enterprise-level implementation. Rather than focusing only on creating charts, the book teaches the complete Power BI workflow: Connect → Transform → Model → Analyze → Visualize → Interact → Secure → Optimize → Publish → Deploy → Maintain The book begins with Power BI fundamentals and the Power BI Desktop environment, then progressively develops practical skills in Power Query, data modeling, DAX, dashboard design, interactive reporting, Power BI Service, security, performance optimization, enterprise architecture, deployment, and production readiness. Learners work with realistic business scenarios rather than isolated examples. The book includes four complete hands-on projects covering Sales Analytics, Supply Chain & Inventory, Finance & FP&A, and HR & Workforce Analytics, supported by companion datasets and progressively challenging exercises. A major focus is placed on professional BI development. Learners are introduced to star schemas, fact and dimension tables, relationships, filter context, advanced DAX patterns, semi-additive inventory measures, actual-versus-budget analysis, workforce snapshots, dynamic RLS, performance optimization, Power BI Service, deployment pipelines, PBIP, TMDL, Git, Fabric, OneLake, and Development → Test → Production workflows. The book also addresses the skills required to turn a technically correct report into a professional analytical product—including visual selection, formatting, themes, conditional formatting, accessibility, slicers, visual interactions, drillthrough, tooltips, buttons, bookmarks, navigation, and dashboard storytelling. The final stages move beyond report development into production readiness, covering data-quality validation, model review, DAX validation, RLS testing, performance analysis, refresh, credentials, gateways, deployment, documentation, handover, and rollback considerations. The result is not simply a collection of Power BI tutorials. It is designed as a progressive professional learning program in which learners learn concepts, practice them, solve increasingly realistic problems, and ultimately build complete business intelligence solutions.

What You'll Learn

After completing Mastering Power BI, learners will be able to:
1. Understand the Power BI ecosystem
Explain the role of Power BI in modern Business Intelligence.
Understand the relationship between Power BI Desktop, Power BI Service, reports, dashboards, semantic models, workspaces, and apps.
Understand the overall lifecycle of a Power BI solution.
2. Connect to business data
Connect Power BI to common file, database, Microsoft, cloud, web, and online-service data sources.
Understand the practical differences between major connection approaches.
Choose an appropriate data-access method for a business requirement.
3. Clean and transform data using Power Query
Navigate and work confidently within Power Query Editor.
Clean inconsistent, incomplete, and duplicated data.
Change data types, filter, sort, split, merge, replace, group, pivot, and unpivot data.
Merge and append queries appropriately.
Build reusable transformation logic.
Work with parameters and custom functions.
Understand query folding and its importance to performance.
Diagnose common Power Query problems.
4. Design professional data models
Identify facts, dimensions, measures, and appropriate table grain.
Build star-schema models.
Create and manage relationships.
Understand cardinality and filter direction.
Handle inactive relationships and role-playing dimensions.
Design many-to-many and bridge-table solutions.
Build and use proper Date tables.
Recognize modeling patterns that can cause ambiguity or performance problems.
5. Develop DAX from fundamentals to advanced analysis
Learners will develop the ability to create and understand measures using functions and patterns such as:
SUM
COUNTROWS
DISTINCTCOUNT
DIVIDE
CALCULATE
FILTER
SUMX
AVERAGEX
RANKX
ALL
REMOVEFILTERS
ALLSELECTED
VALUES
SELECTEDVALUE
TREATAS
USERELATIONSHIP
time-intelligence functions
hierarchy functions
virtual-table patterns
advanced business calculations.
More importantly, learners will understand why DAX produces a particular result, including filter context, row context, context transition, relationship propagation, and the role of CALCULATE. The book's DAX learning framework progresses from simple aggregation through advanced filter-control and structural patterns.
6. Perform business and time-based analysis
Learners will be able to build calculations for:
YTD
MTD
QTD
prior-year comparisons
YoY growth
variance and variance %
rolling periods
running totals
ranking
Top-N analysis
percentage of total
cohort analysis
business KPIs
inventory and operational metrics
actual-versus-budget analysis.
7. Build professional Power BI visuals
Learners will understand how to select and use appropriate visuals including:
Cards
Tables
Matrices
Bar and column charts
Line and area charts
Combo charts
Scatter charts
Maps
Filled maps
Treemaps
Waterfalls
Funnels
Ribbon charts
Decomposition Trees
Key Influencers
Slicers
Small multiples.
They will also learn how to design visuals around business questions rather than simply displaying available fields.
8. Format and design professional reports
Learners will be able to:
Format visual elements appropriately.
Configure titles, axes, legends, labels, backgrounds, borders, and gridlines.
Apply conditional formatting.
Use themes and custom JSON themes.
Create consistent report-wide visual design.
Apply dashboard storytelling principles.
Design for executives, analysts, operational users, and mobile users.
Apply accessibility practices including meaningful alt text, logical tab order, appropriate contrast, and avoiding reliance on color alone.
9. Build interactive reports
Learners will be able to implement:
slicers
visual/page/report filters
visual interactions
drill-down
drillthrough
report-page tooltips
buttons
page navigation
bookmark navigation
show/hide panels
reset-filter functionality
interactive report experiences.
10. Use bookmarks professionally
Learners will understand how bookmarks capture report state and how bookmarks can be combined with buttons to create:
navigation systems
guided analytical stories
view toggles
show/hide panels
reset-filter functionality
alternative report views.
11. Work with Power BI Service
Learners will understand the transition from Power BI Desktop to Power BI Service, including:
publishing reports
workspaces
workspace roles
semantic models
apps
sharing
permissions
scheduled refresh
gateways
credentials
subscriptions
alerts
deployment
Service administration concepts.
12. Implement Power BI security
Learners will be able to:
understand Power BI security concepts
design Row-Level Security
implement static and dynamic RLS patterns
use USERPRINCIPALNAME()
test security using View As
understand organizational security considerations
validate security after publishing.
The HR project provides a practical dynamic RLS pattern based on organizational hierarchy.
13. Optimize Power BI solutions
Learners will understand how to investigate:
large models
high-cardinality columns
inefficient DAX
unnecessary visuals
poor relationships
refresh problems
query performance
DirectQuery considerations.
They will use concepts and tools such as Performance Analyzer, DAX Studio, query folding, star-schema optimization, model reduction, and aggregation strategies.
14. Understand enterprise BI architecture
Learners will understand how Power BI fits into a broader data architecture:
Source Systems → Ingestion → Data Lake/Lakehouse → Warehouse → Data Mart → Semantic Model → Power BI → Users
They will also understand how to decide where a transformation or business rule belongs—source system, warehouse, Power Query, semantic model, DAX, or presentation layer.
15. Understand modern Microsoft analytics architecture
Learners will gain practical awareness of:
Microsoft Fabric
OneLake
Lakehouse
Warehouse
Dataflows
semantic models
Direct Lake
Git-based development
PBIP
TMDL
deployment pipelines.
16. Build complete business intelligence projects
Learners will apply their knowledge to four substantial business domains:
Sales Analytics
Build an end-to-end sales performance solution.
Supply Chain & Inventory Analytics
Work with sales transactions and inventory snapshots, including semi-additive inventory measures and operational KPIs.
Finance & FP&A
Build Actual vs Budget analysis, P&L reporting, variance analysis, and finance KPIs.
HR & Workforce Analytics
Work with employee snapshots, organizational hierarchies, attrition, tenure, and dynamic security.
17. Apply professional BI development practices
Learners will be able to evaluate a Power BI solution before production by checking:
data quality
grain
relationships
model design
DAX
report usability
accessibility
RLS
performance
refresh
credentials
gateway
documentation
ownership
deployment
handover
rollback considerations.
Who This Book Is For
Absolute beginners who want a structured path into Power BI.
Excel and business analysts who want to move into professional BI development.
Data analysts who want stronger Power Query, data modeling, and DAX skills.
Power BI developers who want to strengthen advanced DAX, performance, security, and deployment skills.
Supply-chain, finance, operations, procurement, sales, and HR professionals who want to build their own analytical solutions.
BI consultants and aspiring Power BI professionals who need to understand the complete lifecycle from business requirement through production deployment.
Organizations and trainers looking for a structured Power BI curriculum built around practical exercises and business projects.

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