28 articles that take you from beginner to Qlik Sense Data Architect. Learn to load data, build optimal data models, tune performance, and implement enterprise architectures.
What is the Qlik Sense Data Modeling Course?
This course covers all key aspects of Qlik Sense data modeling – from your first LOAD statement to complex enterprise architectures with the Three-Stage Pattern, performance tuning, and governance. It builds on the concepts described in the Qlik official data modeling documentation.
Who is this course for?
- Beginners: Learn Qlik Sense from the ground up
- Intermediate users: Optimize performance and solve complex modeling problems
- Architects: Establish enterprise standards and deployment processes
What you will learn:
- ✓ Load data from CSV, Excel, SQL, REST APIs
- ✓ Build optimal Star Schema models
- ✓ QVD optimization (up to 100x faster!)
- ✓ Implement the Three-Stage Architecture
- ✓ Section Access for Row-Level Security
- ✓ Professional deployment (DEV/TEST/PROD)
Course stats: 28 articles • 7 parts • ~50 hours of learning material
What topics does the Qlik Sense Data Modeling Course cover?
How do I load and transform data in Qlik Sense?
Level: Beginner–Intermediate • Duration: ~8 hours
| # | Article | What you learn | Level |
|---|---|---|---|
| 1 | Loading Data in Qlik | CSV, Excel, SQL, REST APIs – all sources with performance benchmarks | Beginner |
| 2 | Load Strategies | RESIDENT vs PRECEDING vs INLINE, memory management | Beginner |
| 3 | JOINs vs KEEPs | Performance comparison, WHERE EXISTS(), avoiding Cartesian products | Intermediate |
| 4 | Mapping Tables | ApplyMap() vs JOIN (3–8s vs 25–45s), multi-level lookups | Intermediate |
| 5 | Transforming Data | String, math, and date functions with performance optimization | Beginner |
| 6 | Transposing Data | CROSSTABLE vs GENERIC LOAD for pivot data | Advanced |
| 7 | Incremental Loading | Delta load pattern, timestamp tracking, insert-update-delete | Advanced |
| 8 | QVD Optimization | Optimized vs Non-Optimized Loads – 100x faster! | Advanced |
Quick Win: After Part 1 you can load data from any source and transform it in a performance-optimized way!
How does data modeling in Qlik Sense work (Articles 9–14)?
Level: Advanced • Duration: ~10 hours
| # | Article | What you learn | Level |
|---|---|---|---|
| 9 | Synthetic Keys & Circular References | Understanding and resolving modeling problems, QUALIFY statement | Advanced |
| 10 | Star Schema | The optimal data model – facts + dimensions, AutoNumber | Advanced |
| 11 | Fact vs Dimension Design | Design decisions, granularity, many-to-many | Advanced |
| 12 | Link Tables | Many-to-many relationships without circular references | Advanced |
| 13 | Slowly Changing Dimensions | SCD Type 2 historization, surrogate keys, versioning | Expert |
| 14 | Time-Based Data | IntervalMatch, Master Calendar, Date Island Pattern | Advanced |
Quick Win: After Part 2 you can build professional Star Schema models and solve complex modeling problems!
What does Part 3: Advanced Data Processing cover (Articles 15–18)?
Level: Intermediate–Advanced • Duration: ~6 hours
| # | Article | What you learn | Level |
|---|---|---|---|
| 15 | Master Calendar | Calendar generation, fiscal year, business days, relative fields | Beginner |
| 16 | IterNo() & AUTOGENERATE | Loops, sequences, cumulative calculations | Intermediate |
| 17 | Expression Optimization | Set Analysis vs IF() – 2–4x faster, AGGR(), YTD/MTD | Advanced |
| 18 | Flag-Based Modeling | Pre-calculation strategy – 3–5x faster performance | Advanced |
Quick Win: After Part 3 you can implement a Master Calendar and dramatically optimize your expressions!
How do I handle data quality and error handling in Qlik Sense?
Level: Advanced • Duration: ~4 hours
| # | Article | What you learn | Level |
|---|---|---|---|
| 19 | Data Quality Framework | Quality gates per layer, validation patterns, quality dashboard | Advanced |
| 20 | Error Handling & Recovery | ErrorMode, error logging, alerting, rollback strategy | Advanced |
Quick Win: After Part 4 you can implement robust quality gates and write production-ready scripts!
What does Part 5 on modular development in Qlik Sense cover (Articles 21–23)?
Level: Beginner–Advanced • Duration: ~5 hours
| # | Article | What you learn | Level |
|---|---|---|---|
| 21 | Monitoring & Logging | Load metrics, quality metrics, operational dashboard, alerting | Advanced |
| 22 | Variables & Include Files | SET vs LET, dollar-sign expansion, environment handling | Beginner |
| 23 | Subroutines | SUB…END SUB, CALL, function library pattern | Intermediate |
Quick Win: After Part 5 you can build modular, reusable scripts with centralized monitoring!
What does Part 6: Enterprise Architecture cover (Articles 24–26)?
Level: Advanced–Expert • Duration: ~8 hours
| # | Article | What you learn | Level |
|---|---|---|---|
| 24 | Three-Stage Architecture | Staging/transform/model layer, separation of concerns | Advanced |
| 25 | Section Access | Row-Level Security, ADMIN vs USER, dynamic security | Expert |
| 26 | Performance Tuning | Memory optimization, AutoNumber, expression tuning, profiling | Expert |
Quick Win: After Part 6 you can build enterprise-grade architectures with security and top-tier performance!
How does deployment & governance work in Qlik Sense?
Level: Expert • Duration: ~6 hours
| # | Article | What you learn | Level |
|---|---|---|---|
| 27 | Deployment & Version Control | DEV/TEST/PROD, Git, deployment pipeline, rollback strategy | Expert |
| 28 | Data Governance & Standards | Naming conventions, modeling standards, code review, templates | Expert |
Quick Win: After Part 7 you can run professional deployments and establish team-wide standards!
What are the most common problems in Qlik Sense data modeling?
| Problem | Read these articles |
|---|---|
| App reloads too slowly | Article 8, Article 26 |
| Synthetic Keys / Circular References | Article 9, Article 10 |
| Charts respond slowly | Article 17, Article 18 |
| Reload fails with an error | Article 20, Article 19 |
| Date problems | Article 15, Article 14 |
| Tracking historical data | Article 13, Article 14 |
| Structuring an app | Article 24, Article 22 |
| Showing user-specific data | Article 25 |
| Establishing team standards | Article 28, Article 27 |
What are the most important performance techniques in Qlik Sense?
Speed boosts:
- ✓ Optimized QVD Loads: 100x faster (Article 8)
- ✓ WHERE EXISTS(): Load only relevant data (Articles 3, 8)
- ✓ Set Analysis: 2–4x faster than IF() (Article 17)
- ✓ Flag-Based Modeling: 3–5x faster (Article 18)
Memory savings:
- ✓ AutoNumber: 40–60% less RAM (Article 26)
- ✓ Star Schema: Denormalized dimensions (Article 10)
- ✓ Incremental Loading: Load only deltas (Article 7)
What code templates & tools does the Qlik Sense Data Modeling Course include?
Ready-to-use templates:
- ✓ Master Calendar Generator (Article 15)
- ✓ Quality Check Subroutines (Article 19)
- ✓ Error Handling Framework (Article 20)
- ✓ Logging Architecture (Article 21)
- ✓ Environment-Specific Configs (Articles 22, 27)
- ✓ Validation Test Suite (Article 27)
- ✓ Data Dictionary Template (Article 28)
Checklists:
- ✓ Performance Optimization Checklist (Article 26)
- ✓ Code Review Checklist (Article 28)
- ✓ Deployment Checklist (Article 27)
- ✓ Best Practices (in every article)
Ready to start?
Choose your entry point:
- Complete beginner? Start with Article 1: Loading Data in Qlik
- Need to improve performance? Jump to Article 8: QVD Optimization or the complementary performance guide
- Building an architecture? Read Article 24: Three-Stage Architecture
- Need expression help? See the essential set analysis reference
- Troubleshooting data model issues? Check the quick troubleshooting reference
If you are preparing for a Qlik certification, the Qlik Learning Portal for certification prep complements this course well.
About this course: 28 articles • 7 parts • ~50 hours of learning material • Prepares you for: Qlik Sense Data Architect Certification
Related Topic: Data Governance & Standards