Notebook Cross-Reference Index¶
Home | Tutorials | Feature Docs | Validation
Complete cross-reference mapping every notebook to its corresponding tutorial, feature doc, and use-case document. Use this index to navigate between implementation (notebooks), learning (tutorials), and reference (docs).
Last Updated: 2026-04-27 | Notebooks: 68 | Domains: 9 + ML/AI + Streaming
Third-party references — publicly sourced, good-faith comparison
This index references non-Microsoft products and services (for example, IBM DB2 and Oracle as CDC source systems). That information is drawn from each vendor's publicly available documentation and is offered for honest, good-faith comparison only. This is a personal project written from a Microsoft Fabric and Azure perspective; it does not claim expertise in, or authority over, any third-party product, and nothing here is an official statement by, or endorsed by, those vendors. Capabilities, pricing, and features change often — always verify against the vendor's current official documentation. Where a third-party offering is the stronger choice, we say so plainly.
Table of Contents¶
- Casino/Gaming Domain
- Federal -- Tribal Healthcare
- Federal -- DOT/FAA Transportation
- Analytics Expansion
- Federal -- USDA Agriculture
- Federal -- SBA Small Business
- Federal -- NOAA Weather/Climate
- Federal -- EPA Environment
- Federal -- DOI Interior
- Federal -- DOJ Justice
- Cross-Cutting and Special Purpose
- Machine Learning / AI
- Streaming / CDC
- Real-Time Analytics
- Utilities
Casino/Gaming Domain¶
Core casino/gaming medallion pipeline -- the foundation of the POC.
Federal -- Tribal Healthcare¶
HIPAA-compliant health encounter processing with PHI masking and FHIR R4 mapping.
| # | Notebook | Layer | Tutorial | Feature Doc | Use Case |
|---|---|---|---|---|---|
| 07 | bronze/07_bronze_tribal_health.py | Bronze | 30-tribal-healthcare | -- | IHS encounter ingestion, HIPAA audit |
| 07 | silver/07_silver_tribal_health.py | Silver | 30-tribal-healthcare | -- | PHI masking, FHIR R4, ICD-10 |
| 07 | gold/07_gold_tribal_health_360.py | Gold | 30-tribal-healthcare | -- | Tribal Health Analytics |
Federal -- DOT/FAA Transportation¶
Multi-domain transportation data: flights, safety incidents, traffic.
| # | Notebook | Layer | Tutorial | Feature Doc | Use Case |
|---|---|---|---|---|---|
| 08 | bronze/08_bronze_dot_faa.py | Bronze | 31-federal-dot-faa | -- | Multi-domain FAA ingestion |
| 08 | silver/08_silver_dot_faa.py | Silver | 31-federal-dot-faa | -- | IATA validation, delay categories |
| 08 | gold/08_gold_dot_faa_analytics.py | Gold | 31-federal-dot-faa | -- | Transportation Safety |
Analytics Expansion¶
Video surveillance, people movement tracking, and geolocation analytics.
| # | Notebook | Layer | Tutorial | Feature Doc | Use Case |
|---|---|---|---|---|---|
| 09 | bronze/09_bronze_video_analytics.py | Bronze | 27-video-security | -- | Video event ingestion |
| 09 | silver/09_silver_video_analytics.py | Silver | 27-video-security | -- | Threat classification, anomaly flag |
| 09 | gold/09_gold_video_security_kpis.py | Gold | 27-video-security | -- | Detection rates, response times |
| 10 | bronze/10_bronze_people_movement.py | Bronze | 28-people-movement | -- | Movement tracking ingestion |
| 10 | silver/10_silver_people_movement.py | Silver | 28-people-movement | -- | Dwell time, flow analysis |
| 10 | gold/10_gold_movement_analytics.py | Gold | 28-people-movement | -- | Zone occupancy, peak analysis |
| 11 | bronze/11_bronze_geolocation.py | Bronze | 29-geolocation | -- | Geolocation event ingestion |
| 11 | silver/11_silver_geolocation.py | Silver | 29-geolocation | -- | H3 indexing, geofence validation |
| 11 | gold/11_gold_geolocation_insights.py | Gold | 29-geolocation | -- | Hotspot analysis, geo-attribution |
Federal -- USDA Agriculture¶
Crop production, food safety, and agricultural economics.
| # | Notebook | Layer | Tutorial | Feature Doc | Use Case |
|---|---|---|---|---|---|
| 12 | bronze/12_bronze_usda.py | Bronze | 32-usda-agriculture | -- | USDA dataset ingestion |
| 12 | silver/12_silver_usda.py | Silver | 32-usda-agriculture | -- | Crop data cleansing, validation |
| 12 | gold/12_gold_usda_analytics.py | Gold | 32-usda-agriculture | -- | Agricultural Analytics |
Federal -- SBA Small Business¶
Loan programs, disaster lending, and small business analytics.
| # | Notebook | Layer | Tutorial | Feature Doc | Use Case |
|---|---|---|---|---|---|
| 13 | bronze/13_bronze_sba.py | Bronze | 33-sba-small-business | -- | SBA loan data ingestion |
| 13 | silver/13_silver_sba.py | Silver | 33-sba-small-business | -- | Loan validation, enrichment |
| 13 | gold/13_gold_sba_analytics.py | Gold | 33-sba-small-business | -- | Small Business Lending |
Federal -- NOAA Weather/Climate¶
Weather observations, climate data, and storm events.
| # | Notebook | Layer | Tutorial | Feature Doc | Use Case |
|---|---|---|---|---|---|
| 14 | bronze/14_bronze_noaa.py | Bronze | 34-noaa-weather-climate | -- | NOAA weather data ingestion |
| 14 | silver/14_silver_noaa.py | Silver | 34-noaa-weather-climate | -- | Station validation, unit conversion |
| 14 | gold/14_gold_noaa_analytics.py | Gold | 34-noaa-weather-climate | -- | Weather/Climate Analytics |
Federal -- EPA Environment¶
Air quality monitoring, water quality, and emissions tracking.
| # | Notebook | Layer | Tutorial | Feature Doc | Use Case |
|---|---|---|---|---|---|
| 15 | bronze/15_bronze_epa.py | Bronze | 35-epa-environment | -- | EPA environmental data ingestion |
| 15 | silver/15_silver_epa.py | Silver | 35-epa-environment | -- | Compliance threshold checks |
| 15 | gold/15_gold_epa_analytics.py | Gold | 35-epa-environment | -- | Environmental Compliance |
Federal -- DOI Interior¶
Land management, wildlife tracking, and natural resource analytics.
| # | Notebook | Layer | Tutorial | Feature Doc | Use Case |
|---|---|---|---|---|---|
| 16 | bronze/16_bronze_doi.py | Bronze | 36-doi-interior | -- | DOI resource data ingestion |
| 16 | silver/16_silver_doi.py | Silver | 36-doi-interior | -- | Geospatial validation, enrichment |
| 16 | gold/16_gold_doi_analytics.py | Gold | 36-doi-interior | -- | Natural Resources Analytics |
Federal -- DOJ Justice¶
Case management, antitrust enforcement, and federal justice analytics.
| # | Notebook | Layer | Tutorial | Feature Doc | Use Case |
|---|---|---|---|---|---|
| 18 | bronze/18_bronze_doj.py | Bronze | 38-doj-justice | -- | DOJ case data ingestion |
| 18 | silver/18_silver_doj.py | Silver | 38-doj-justice | -- | Case validation, jurisdiction |
| 19 | gold/19_gold_doj_analytics.py | Gold | 38-doj-justice | -- | Federal Justice Analytics |
Cross-Cutting and Special Purpose¶
Notebooks that span domains or implement special features.
| # | Notebook | Layer | Tutorial | Feature Doc |
|---|---|---|---|---|
| 17 | bronze/17_bronze_shortcut_transformations.py | Bronze | 08-database-mirroring | Mirroring |
| 17 | gold/17_gold_ai_functions_compliance.py | Gold | 19-copilot-ai | AI Copilot |
| 18 | gold/18_gold_digital_twin_demo.py | Gold | -- | Digital Twin Builder |
Machine Learning / AI¶
Predictive models and AI/ML pipelines using Fabric MLflow.
| # | Notebook | Type | Tutorial | Feature Doc |
|---|---|---|---|---|
| 01 | ml/01_ml_player_churn_prediction.py | GBT Classifier | 09-advanced-ai-ml | AutoML |
| 02 | ml/02_ml_fraud_detection.py | Isolation Forest | 09-advanced-ai-ml | AutoML |
| 03 | ml/03_ml_automl_weather_forecasting.py | AutoML | 09-advanced-ai-ml | AutoML |
Streaming / CDC¶
CDC and IoT streaming connectors for real-time data ingestion from diverse sources.
| # | Notebook | Source | Tutorial | Feature Doc |
|---|---|---|---|---|
| 01 | streaming/01_sql_server_cdc.py | SQL Server (Debezium) | 26-multi-source-streaming | Copy Job CDC |
| 02 | streaming/02_azure_sql_change_feed.py | Azure SQL (Change Tracking) | 26-multi-source-streaming | Mirroring |
| 03 | streaming/03_cosmos_db_change_feed.py | Cosmos DB (Change Feed) | 26-multi-source-streaming | Mirroring |
| 04 | streaming/04_ibm_db2_cdc.py | IBM DB2 (ASN Capture) | 25-ibm-db2-source | Source Patterns |
| 05 | streaming/05_oracle_cdc.py | Oracle (LogMiner) | 26-multi-source-streaming | Source Patterns |
| 06 | streaming/06_kafka_connector.py | Apache Kafka (Avro/JSON) | 26-multi-source-streaming | RTI |
| 07 | streaming/07_iot_hub_ingestion.py | Azure IoT Hub | 26-multi-source-streaming | RTI |
| 08 | streaming/08_slot_machine_iot_simulator.py | Custom IoT (SAS) | 04-real-time-analytics | RTI |
Real-Time Analytics¶
Live streaming and KQL query notebooks.
| # | Notebook | Type | Tutorial | Feature Doc |
|---|---|---|---|---|
| 01 | real-time/01_realtime_slot_streaming.py | Spark Structured Streaming | 04-real-time-analytics | RTI |
| 02 | real-time/02_kql_casino_floor.kql | KQL Queries | 04-real-time-analytics | Eventhouse |
Utilities¶
Shared helper modules used across notebooks.
| File | Purpose | Used By |
|---|---|---|
utils/bronze_utils.py | Common Bronze ingestion helpers (schema, audit columns) | All Bronze notebooks |
utils/lineage_utils.py | Data lineage tracking utilities | Silver/Gold notebooks |
utils/pipeline_execution_log_setup.py | Pipeline execution logging setup | Pipeline-orchestrated runs |
Summary Statistics¶
| Category | Bronze | Silver | Gold | ML | Streaming | Real-Time | Utils | Total |
|---|---|---|---|---|---|---|---|---|
| Casino/Gaming | 6 | 6 | 8 | 2 | -- | 2 | -- | 24 |
| Tribal Health | 1 | 1 | 1 | -- | -- | -- | -- | 3 |
| DOT/FAA | 1 | 1 | 1 | -- | -- | -- | -- | 3 |
| Video/Movement/Geo | 3 | 3 | 3 | -- | -- | -- | -- | 9 |
| USDA | 1 | 1 | 1 | -- | -- | -- | -- | 3 |
| SBA | 1 | 1 | 1 | -- | -- | -- | -- | 3 |
| NOAA | 1 | 1 | 1 | 1 | -- | -- | -- | 4 |
| EPA | 1 | 1 | 1 | -- | -- | -- | -- | 3 |
| DOI | 1 | 1 | 1 | -- | -- | -- | -- | 3 |
| DOJ | 1 | 1 | 1 | -- | -- | -- | -- | 3 |
| Cross-Cutting | 1 | -- | 2 | -- | -- | -- | -- | 3 |
| Streaming/CDC | -- | -- | -- | -- | 8 | -- | -- | 8 |
| Utilities | -- | -- | -- | -- | -- | -- | 3 | 3 |
| Total | 18 | 17 | 21 | 3 | 8 | 2 | 3 | 72 |
Related Resources¶
| Resource | Description |
|---|---|
| Tutorials | Step-by-step implementation guides |
| Feature Docs | Fabric feature reference documentation |
| Best Practices | Architecture and engineering best practices |
| Use Cases | Applied analytics use cases with references |
| Data Generation | Test data generation for notebooks |
| Validation | Unit tests and data quality suites |