Practical knowledge library
Explore strategy, architecture, operating models, visual guides, decision tools, and implementation patterns for enterprise data and AI.
These pages establish the core product and architecture concepts before you enter the deeper libraries.
Data Product Strategy
Comprehensive guide to Data Products. Learn why data products matter, how to build them, the drivetrain approach, experimentation frameworks, operating models…
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Data Product Strategy
A working guide to the data product lifecycle: the product mindset shift, DATSIS characteristics, data contracts and SLOs, a signal-versus-utility fit test…
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Learn the proven enterprise framework for building AI-powered data products. Discover why starting with a business decision, not data or technology…
Read guideData Product Strategy
Welcome to this interactive guide on experimentation for data products. This application breaks down the core principles of designing, running…
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AI Agents
An in-depth academic comparison of LLM-based generative AI and agentic AI systems, analyzing their entire lifecycle from design and training to deployment and evolution…
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Generative AI & LLMs
A complete visual guide to Large Language Models (LLMs): how they work, transformer architecture, training with RLHF, tokenization, fine-tuning, RAG, prompt engineering…
Read guideData Mesh
A comprehensive knowledge tutorial for Data Mesh architecture, covering data products, self-serve platforms, federated computational governance…
Read guideArchitecture & Databases
Central hub for database selection guides. Compare SQL, NoSQL, Vector, Graph, and Time-Series databases with interactive decision engines, visual trade-offs…
Read guideGovernance, Quality & Privacy
MPC, FHE, and TEE all tackle different angles of the shared problem: unlocking value from sensitive data while protecting it from unauthorized access.…
Read guideUse the site as a decision library rather than a chronological blog.
Foundations, lifecycle, experimentation, operating model, contracts, metrics, and product value.
Architecture, memory, planning, tools, security, observability, and industry applications.
Models, RAG, fine-tuning, assistants, evaluation, security, adoption, and cost.
Data mesh, vector and graph systems, databases, cloud platforms, and integration patterns.
Compliance, privacy, finance, insurance, marketing, experience, supply chain, and operations.
Focused guidance for CDOs, CIOs, CTOs, CPOs, product leaders, and architects.
Follow a curated sequence for your role or objective.
Learn the mindset, components, lifecycle, experimentation, and operating model.
Open the foundations path →Move from agent patterns to memory, tools, evaluation, safety, and observability.
Open the agent-builder path →Search the full library by title, description, or topic.
The directory includes every indexable guide and visual page, with filters by topic.
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