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AI-NATIVE BUSINESS INTELLIGENCE Volume 1 · Foundations, Architecture, and Transformation: From classical data warehousing to agentic, AI-first analytics — and how to get there from the system - Couverture souple
Livre 1 sur 2: THE AI-NATIVE BI SERIES
Synopsis
Your dashboards show you the number. Who explains the why?
Every BI system built in the last twenty years was designed to answer "what happened." The AI era demands more: systems that investigate causes on their own, explain their answers, and act — without losing the discipline that made classical BI trustworthy. This book builds that bridge, end to end.
AI-Native Business Intelligence, Volume 1 is a complete, practice-first course in three parts:
PART I — Classical BI, rebuilt properly. Inmon vs. Kimball, dimensional modeling, slowly changing dimensions, ETL/ELT, data quality, MDM, and governance — the foundation your future agents will stand on, taught through one continuous retail case.
PART II — The AI-Native architecture. The six-layer reference model with the semantic layer at its heart: metrics as code, MCP as the controlled door, conversational and agentic BI, RAG and knowledge graphs, hallucination control, compile-time security, and FinOps for agent workloads. You'll learn why "wrap an LLM around the database and hope" fails — and what to design instead.
PART III — Transformation in practice. Greenfield, brownfield, and hybrid playbooks with roadmaps, risk registers, and rollback criteria — capped by a full multinational, multi-currency capstone (Truong Son Group) you can rebuild for your own organization, exercises and reference solutions included.
Inside this volume
- 35 chapters, 60+ original architecture figures, and chapter quizzes with full answer keys
- Ready-to-adapt templates: semantic-layer YAML, MCP server configuration, eval suites with "trap" questions, Bus Matrix, design checklists
- A 90-day / 6-month / 12-month migration playbook with quantitative stop-and-rollback criteria
- 30/60/90-day self-study paths for newcomers, BI veterans, and decision-makers
Written for data engineers, architects, analytics leaders, and CTOs who refuse to choose between AI capability and engineering discipline. No prior AI experience required; every concept is built from the ground up.
Volume 1 is the thinking book — what to build and why. Volume 2 (Design & Implementation) is the building book. They pair, but each stands alone.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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AI-NATIVE BUSINESS INTELLIGENCE Volume 1 · Foundations, Architecture, and Transformation: From classical data warehousing to agentic, AI-first ... from the system (THE AI-NATIVE BI SERIES)
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AI-NATIVE BUSINESS INTELLIGENCE Volume 1 - Foundations, Architecture, and Transformation (Paperback)
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Paperback. Etat : new. Paperback. Your dashboards show you the number. Who explains the why?Every BI system built in the last twenty years was designed to answer "what happened." The AI era demands more: systems that investigate causes on their own, explain their answers, and act - without losing the discipline that made classical BI trustworthy. This book builds that bridge, end to end.AI-Native Business Intelligence, Volume 1 is a complete, practice-first course in three parts: PART I - Classical BI, rebuilt properly. Inmon vs. Kimball, dimensional modeling, slowly changing dimensions, ETL/ELT, data quality, MDM, and governance - the foundation your future agents will stand on, taught through one continuous retail case.PART II - The AI-Native architecture. The six-layer reference model with the semantic layer at its heart: metrics as code, MCP as the controlled door, conversational and agentic BI, RAG and knowledge graphs, hallucination control, compile-time security, and FinOps for agent workloads. You'll learn why "wrap an LLM around the database and hope" fails - and what to design instead.PART III - Transformation in practice. Greenfield, brownfield, and hybrid playbooks with roadmaps, risk registers, and rollback criteria - capped by a full multinational, multi-currency capstone (Truong Son Group) you can rebuild for your own organization, exercises and reference solutions included.Inside this volume35 chapters, 60+ original architecture figures, and chapter quizzes with full answer keysReady-to-adapt templates: semantic-layer YAML, MCP server configuration, eval suites with "trap" questions, Bus Matrix, design checklistsA 90-day / 6-month / 12-month migration playbook with quantitative stop-and-rollback criteria30/60/90-day self-study paths for newcomers, BI veterans, and decision-makersWritten for data engineers, architects, analytics leaders, and CTOs who refuse to choose between AI capability and engineering discipline. No prior AI experience required; every concept is built from the ground up.Volume 1 is the thinking book - what to build and why. Volume 2 (Design & Implementation) is the building book. They pair, but each stands alone. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798191846798
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AI-NATIVE BUSINESS INTELLIGENCE Volume 1 - Foundations, Architecture, and Transformation
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AI-NATIVE BUSINESS INTELLIGENCE Volume 1 - Foundations, Architecture, and Transformation
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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798191846798
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AI-NATIVE BUSINESS INTELLIGENCE Volume 1 - Foundations, Architecture, and Transformation : From classical data warehousing to agentic, AI-first analytics - and how to get there from the system
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Taschenbuch. Etat : Neu. Neuware - Your dashboards show you the number. Who explains the why Every BI system built in the last twenty years was designed to answer 'what happened.' The AI era demands more: systems that investigate causes on their own, explain their answers, and act - without losing the discipline that made classical BI trustworthy. This book builds that bridge, end to end.AI-Native Business Intelligence, Volume 1 is a complete, practice-first course in three parts: PART I - Classical BI, rebuilt properly. Inmon vs. Kimball, dimensional modeling, slowly changing dimensions, ETL/ELT, data quality, MDM, and governance - the foundation your future agents will stand on, taught through one continuous retail case.PART II - The AI-Native architecture. The six-layer reference model with the semantic layer at its heart: metrics as code, MCP as the controlled door, conversational and agentic BI, RAG and knowledge graphs, hallucination control, compile-time security, and FinOps for agent workloads. You'll learn why 'wrap an LLM around the database and hope' fails - and what to design instead.PART III - Transformation in practice. Greenfield, brownfield, and hybrid playbooks with roadmaps, risk registers, and rollback criteria - capped by a full multinational, multi-currency capstone (Truong Son Group) you can rebuild for your own organization, exercises and reference solutions included.Inside this volume- 35 chapters, 60+ original architecture figures, and chapter quizzes with full answer keys- Ready-to-adapt templates: semantic-layer YAML, MCP server configuration, eval suites with 'trap' questions, Bus Matrix, design checklists- A 90-day / 6-month / 12-month migration playbook with quantitative stop-and-rollback criteria- 30/60/90-day self-study paths for newcomers, BI veterans, and decision-makersWritten for data engineers, architects, analytics leaders, and CTOs who refuse to choose between AI capability and engineering discipline. No prior AI experience required; every concept is built from the ground up.Volume 1 is the thinking book - what to build and why. Volume 2 (Design & Implementation) is the building book. They pair, but each stands alone. N° de réf. du vendeur 9798191846798
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AI-NATIVE BUSINESS INTELLIGENCE Volume 1 - Foundations, Architecture, and Transformation (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Your dashboards show you the number. Who explains the why?Every BI system built in the last twenty years was designed to answer "what happened." The AI era demands more: systems that investigate causes on their own, explain their answers, and act - without losing the discipline that made classical BI trustworthy. This book builds that bridge, end to end.AI-Native Business Intelligence, Volume 1 is a complete, practice-first course in three parts: PART I - Classical BI, rebuilt properly. Inmon vs. Kimball, dimensional modeling, slowly changing dimensions, ETL/ELT, data quality, MDM, and governance - the foundation your future agents will stand on, taught through one continuous retail case.PART II - The AI-Native architecture. The six-layer reference model with the semantic layer at its heart: metrics as code, MCP as the controlled door, conversational and agentic BI, RAG and knowledge graphs, hallucination control, compile-time security, and FinOps for agent workloads. You'll learn why "wrap an LLM around the database and hope" fails - and what to design instead.PART III - Transformation in practice. Greenfield, brownfield, and hybrid playbooks with roadmaps, risk registers, and rollback criteria - capped by a full multinational, multi-currency capstone (Truong Son Group) you can rebuild for your own organization, exercises and reference solutions included.Inside this volume35 chapters, 60+ original architecture figures, and chapter quizzes with full answer keysReady-to-adapt templates: semantic-layer YAML, MCP server configuration, eval suites with "trap" questions, Bus Matrix, design checklistsA 90-day / 6-month / 12-month migration playbook with quantitative stop-and-rollback criteria30/60/90-day self-study paths for newcomers, BI veterans, and decision-makersWritten for data engineers, architects, analytics leaders, and CTOs who refuse to choose between AI capability and engineering discipline. No prior AI experience required; every concept is built from the ground up.Volume 1 is the thinking book - what to build and why. Volume 2 (Design & Implementation) is the building book. They pair, but each stands alone. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798191846798
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