Discover how AgentFactory transforms the design and delivery of modern data-intensive applications through intelligent agents, collaborative engineering, and governed automation. The book takes readers from fundamental architectural principles to the development of scalable, reliable, secure, and analytics-ready enterprise systems.
What's Inside the Book
Chapter 1 — The Data Product Begins with a Decision
Explore the foundations of data-intensive applications, the relationship between business decisions and data architecture, and how AgentFactory converts enterprise objectives into structured, governed engineering initiatives.
Chapter 2 — A Workforce for Architecture at Scale
Discover AgentFactory's specialized Digital FTEs, multi-agent collaboration, Digital PODs, and Work Orders. Learn how AI-powered architects, data engineers, database developers, and QA agents work together to deliver sophisticated enterprise systems.
Chapter 3 — Durable Data Begins with Meaning
Examine enterprise data modeling, domain boundaries, relational database design, normalization, data contracts, and durable storage. Understand how AgentFactory agents collaborate to create consistent, extensible, and trustworthy data foundations.
Chapter 4 — Moving Data Without Losing Trust
Explore ingestion architectures, ETL and ELT pipelines, data transformation, validation, reconciliation, replay, and data quality engineering. Discover how AgentFactory coordinates reliable data movement across enterprise environments.
Chapter 5 — Distributed Systems and the Cost of Distance
Understand distributed data architectures, consistency models, replication, concurrency, transactions, fault tolerance, retries, and asynchronous processing. Learn how AgentFactory helps engineering teams design resilient distributed applications.
Chapter 6 — Serving Data as a Product
Discover how to expose enterprise data through secure APIs, application services, read models, caching, and scalable access patterns. Explore the role of AgentFactory agents in building dependable data-serving architectures.
Chapter 7 — From Records to Analytical Understanding
Explore data warehouses, analytical modeling, business intelligence, reporting, Power BI, and data-driven decision-making. See how AgentFactory connects operational data engineering with enterprise analytics and business value.
Chapter 8 — Trust Is an Architectural Property
Examine security, data governance, authorization, traceability, quality controls, and auditability. Discover how AgentFactory's Control Plane, approval mechanisms, and governed execution model strengthen accountability across the application lifecycle.
Chapter 9 — Reliability Is a Continuous Practice
Learn about observability, monitoring, performance, testing, operational resilience, and continuous improvement. Explore how AgentFactory's specialized QA agents, execution evidence, validation, and controlled recovery capabilities support dependable enterprise operations.
Chapter 10 — An Energy Data Platform, Designed End to End
Bring the book's architectural principles together through a comprehensive enterprise energy-sector scenario. Follow the design of an integrated data platform, from source ingestion and durable storage through distributed processing, analytical delivery, quality assurance, and governed operations using AgentFactory's collaborative agent workforce.
From Architecture to Intelligent Execution
Throughout the book, practical architectural patterns, technical examples, and enterprise scenarios illustrate how AgentFactory brings together human expertise and specialized AI agents. Readers gain a comprehensive understanding of how to move beyond traditional development approaches toward intelligent, coordinated, evidence-driven engineering—creating data-intensive applications designed for scalability, reliability, adaptability, and long-term business value.