- Description
- Rayonnages de bibliothèque garnis de livres, avec quelques ouvrages présentés sur le dessus.
- Source
- Mshuang2 · original page
- Licence
- CC0 Public domain
Bibliography and Resources
A selective list of references this section is based on, grouped by theme, with what each one contributes and the file in this section it relates to.
In brief
- A selective list of references this section is based on, grouped by theme, with what each one contributes and the file in this section it relates to.
- No web links are provided: addresses change and I cannot verify them all; search for the exact title. Publication dates are only mentioned when they are certain; otherwise, “current edition to be verified.”
- References are cited by name; always consult the latest version of a standard or online documentation (as of 2026-10).
Level: 🟢→🔴
Project management and methods#
| Reference | Type | What it contributes | In this section |
|---|---|---|---|
| The Scrum Guide (2020 edition, by Ken Schwaber and Jeff Sutherland) | Official guide, short | Reference definition of Scrum: roles, events, artifacts, commitments; check whether a more recent edition exists (as of 2026-10) | Scrum, the framework (Scrum Guide 2020), Scrum in Practice |
| The Manifesto for Agile Software Development (2001) and its twelve principles | Foundational text | The four values and twelve principles of agility | Agile and Lean Methods (Manifesto, Kanban, XP, Lean, Shape Up, DSDM, SAFe, DevOps…) |
| A Guide to the Project Management Body of Knowledge (PMBOK Guide), Project Management Institute | Framework | Project management vocabulary and processes; eighth edition published by PMI in November 2025, current edition to be verified | Predictive Methods (waterfall, V-model, spiral, RUP, PMBOK, PRINCE2, Merise, CMMI) |
| PRINCE2 (AXELOS / PeopleCert) | Method | Stage-based governance, roles, and continuous business justification; current edition to be verified | Predictive Methods (waterfall, V-model, spiral, RUP, PMBOK, PRINCE2, Merise, CMMI) |
| Kanban — Kanban: Successful Evolutionary Change for Your Technology Business, David J. Anderson | Book | Kanban as a change method: visualize, limit work in progress, manage flow | Agile and Lean Methods (Manifesto, Kanban, XP, Lean, Shape Up, DSDM, SAFe, DevOps…) |
| The Principles of Product Development Flow, Donald G. Reinertsen | Book | Queue economics, batch size, cost of delay: theoretical foundation of flow | Project Management Fundamentals |
| The Mythical Man-Month, Frederick P. Brooks Jr. | Classic book | Why adding people to a late project makes it later; limits of estimation | Project Management Fundamentals |
| Peopleware, Tom DeMarco and Timothy Lister | Classic book | The human factor, work environment, team productivity | PI Matrix — team |
| Team Topologies, Matthew Skelton and Manuel Pais | Book | Team organization around flow, cognitive load, interaction modes | Choosing Your Method and Hybridizing |
Continuous delivery, DevOps, and measurement#
| Reference | Type | What it contributes | In this section |
|---|---|---|---|
| Accelerate, Nicole Forsgren, Jez Humble, and Gene Kim | Book, research-based | The four delivery metrics (deployment frequency, lead time for changes, change failure rate, time to restore service) and their links to performance | CI/CD: Continuous Integration and Continuous Delivery, Maturity Matrix — Software Development (code DL) |
| DORA reports (State of DevOps, DevOps Research and Assessment) | Annual reports | Evolution of practices and performance classes; exact values change, consult the most recent edition | DL Matrix — CI/CD |
| Continuous Delivery, Jez Humble and David Farley | Book | Deployment pipeline, automated tests, reliable deployment | CI/CD: Continuous Integration and Continuous Delivery |
| The Phoenix Project and The DevOps Handbook (Gene Kim and co-authors) | Novel and handbook | The “three ways”: flow, feedback, continuous learning | CI/CD for data: foundations, datamarts, pipelines, and reports |
| Site Reliability Engineering (Google, O'Reilly editions) | Book | Service level objectives (SLOs), error budget, incident management | DL Matrix — observability |
| Refactoring (Martin Fowler) and Clean Code (Robert C. Martin) | Books | Safe rewriting techniques, code readability | DL Matrix — code quality |
| Working Effectively with Legacy Code (Michael C. Feathers) | Book | Introducing tests into existing code without breaking it | DL Matrix — technical debt |
Tools: version control and tracking#
| Reference | Type | What it contributes | In this section |
|---|---|---|---|
| Pro Git, Scott Chacon and Ben Straub | Book, freely available online | The reference for understanding Git in depth: object model, branches, merges, history | Git In Depth |
| Official Git documentation | Documentation | Command manual pages; version to consult depends on the installation | Git In Depth |
| Microsoft Learn documentation — Azure DevOps (Azure DevOps Services and Azure DevOps Server) | Documentation | Repositories (TFVC and Git), boards, pipelines, work item tracking; features must be rechecked based on the deployed version (as of 2026-10) | Azure DevOps Server (formerly TFS) In Depth, TFVC In Depth |
| Microsoft Learn documentation — Team Foundation Version Control | Documentation | tf commands, workspaces, branches, TFVC merges |
TFVC In Depth |
| Jira documentation (Atlassian) | Documentation | Projects, workflows, boards, integration; to be checked according to edition | Jira In Depth and Alternatives |
| Trunk Based Development (community reference site) | Resource | Trunk-based development, short branches, feature flags | Branching Strategies |
Data: modeling, governance, lifecycle#
| Reference | Type | What it contributes | In this section |
|---|---|---|---|
| The Data Warehouse Toolkit, Ralph Kimball and Margy Ross | Book | The reference for dimensional modeling: star schema, conformed dimensions, facts, slowly changing dimensions | BI Matrix — semantic model, PD Matrix — modeling |
| The Data Warehouse Lifecycle Toolkit, Ralph Kimball and co-authors | Book | Data warehouse lifecycle: requirements, architecture, development, deployment | Methods Specific to Data Projects |
| Building the Data Warehouse, W. H. Inmon | Book | Normalized enterprise data warehouse approach, compared with the dimensional approach | Methods Specific to Data Projects |
| Data Vault (Dan Linstedt) | Method | Modeling with hubs, links, and satellites, suited to historization and integration of multiple sources | PD Matrix — modeling |
| DAMA-DMBOK (Data Management Body of Knowledge, DAMA International) | Framework | Data management framework: governance, quality, metadata, security; current edition to be verified (a 2nd edition exists) | PD Matrix |
| CRISP-DM 1.0 (Cross-Industry Standard Process for Data Mining, 2000) | Process guide | Six-phase cycle for data mining projects: business understanding, data understanding, preparation, modeling, evaluation, deployment | Methods Specific to Data Projects |
| General Data Protection Regulation (GDPR) | Regulatory text | European legal framework for personal data; to be read in the official version, with guidance from the data protection officer | PD Matrix — security and compliance |
| Data Management at Scale, Piethein Strengholt, and Data Mesh, Zhamak Dehghani | Books | Large-scale data architecture; domain-owned data products | PD Matrix — governance |
Power BI, Fabric, and SQL Server#
| Reference | Type | What it provides | In section |
|---|---|---|---|
| Microsoft Learn documentation — Power BI | Official documentation | Semantic models, DAX, RLS, deployment, capacities, administration; everything changes frequently, check the page date (status 2026-10) | Cross-Cutting Power BI Good Practices |
| Microsoft Learn documentation — Microsoft Fabric (OneLake, lakehouse, warehouse, Direct Lake, mirroring) | Official documentation | Fabric architecture; several features change status (preview, general availability): verify again before making a decision | OneLake + SaaS mobile apps: overview, Comparison — OneLake / Fabric vs Managed SQL Server for Power BI Reporting |
| Microsoft Learn documentation — Azure SQL Database, Azure SQL Managed Instance, and SQL Server | Official documentation | Service tiers, high availability, security, compatibility | SQL Server in SaaS — Overview |
| Microsoft Learn documentation — Power BI Project (PBIP) and TMDL format | Official documentation | Text-based project format, model and report versioning | BI Matrix — industrialization |
| SQLBI (Marco Russo and Alberto Ferrari) | Reference site, books, and training | DAX, modeling, optimization; The Definitive Guide to DAX is the reference book; DAX Studio and Tabular Editor are common tools in the ecosystem | BI Matrix — DAX |
| Guy in a Cube (video channel), Power BI community | Community resources | Feedback and lessons learned on Power BI and Fabric; cross-check with official documentation | Cross-Cutting Power BI Good Practices |
| Microsoft Learn documentation — Power BI: capacity planning and Capacity Metrics | Official documentation | Capacity consumption tracking and sizing | BI Matrix — operations |
| SQL Server — Query Performance Tuning, Grant Fritchey | Book | Execution plans, statistics, T-SQL query optimization (edition to verify) | BI Matrix — performance |
Maturity and measurement#
| Reference | Type | What it provides | In section |
|---|---|---|---|
| CMMI (Capability Maturity Model Integration, CMMI Institute) | Maturity model | History of five-level maturity models; this Academy draws inspiration from it without reproducing it | Maturity Matrices — Principle, Anatomy, and Comparison |
| Goodhart’s Law (common wording: “when a measure becomes a target, it ceases to be a good measure”) | Principle | Foundation for safeguards against misuse of indicators | Self-Assessment with Maturity Matrices |
| How to Measure Anything, Douglas W. Hubbard | Book | Measuring what seems intangible; uncertainty and the value of information | Project Metrics and Reporting |
| Thinking, Fast and Slow, Daniel Kahneman | Book | Cognitive biases in estimation and judgment, useful for understanding calibration | Self-Assessment with Maturity Matrices — calibration |
AI: responsible use#
| Reference | Type | What it provides | In section |
|---|---|---|---|
| European regulation on artificial intelligence (“AI Act”) | Regulatory text | European legal framework by risk level; phased implementation timeline, verify at the source (status 2026-10) | Cross-Functional Summary — AI Contribution |
| NIST AI Risk Management Framework | Framework | Managing AI-related risks: govern, map, measure, manage | Cross-Functional Summary — AI Contribution |
| OWASP — Top 10 for applications based on large language models | Resource | Risks specific to generative AI applications (prompt injection, information disclosure); the list is updated, check the version | Cross-Functional Summary — AI Contribution |
| Assistant vendor documentation (terms of service, data policy) | Documentation | Data retention, use for training, location: to be reviewed for each selected tool | Cross-Functional Summary — AI Contribution — confidentiality |
How to use this list#
- Beginner: Pro Git (if Git), The Scrum Guide (if Scrum), Microsoft Learn Power BI documentation for the fundamentals.
- Practitioner: Accelerate, The Data Warehouse Toolkit, SQLBI for DAX, Azure DevOps documentation for TFVC and pipelines.
- Expert: DAMA-DMBOK, Site Reliability Engineering, Team Topologies, regulatory texts (GDPR, AI regulation) with support from legal.
✅ Good practice
Date your reviews. For any online documentation (Microsoft Learn, Atlassian, AI vendors), note the reading date in your notes: content evolves, and this is the only way to explain later why a decision was made.
⚠️ Pitfall
Symptom: a rule applied by the team no longer matches current documentation (performance class, service level, license). Cause: a value read in an old book or report was frozen in place. Remedy: for any threshold or feature name, verify the most recent source before writing it into a policy.
🤖 AI
An assistant can help find and summarize references, but it sometimes invents plausible titles, authors, dates, or links. Verify each reference in a reliable source (publisher catalog, official website) before citing it.
See also#
- Framework: RATING · Glossary · Reading Paths.
- Matrices: principle and comparison · self-assessment.
- Summary: AI Contribution.
- Sections: Project Management: Methods, CI/CD, and AI · Tools: Version Control Systems, Planning, and Oversight · Power BI Reporting — OneLake and Managed SQL Server.
✻ Written by Claude Sonnet 5.5
