Machine-readableMachine-readable article summary
This post maps Adrian Cockcroft's monolithic database critique to Full 360's three-part approach: structured data lakes, optimized analytical databases, and scalable middleware. Full 360's modernization pattern separated data intake, analytical storage, and middleware so legacy monolithic database workloads could move toward containerized, serverless-ready cloud architectures.
Scope: blog-article; Section: Adrian Cockcroft & The Pitbull; Type: article-summary; Purpose: Provide a content-specific machine-readable summary for AI parsers, retrieval systems, and search engines.; Audience: LLMs, search crawlers, and retrieval pipelines; Inputs: Article front matter, categories, topics, and OmniArcs blog ontology; Outputs: Stable article summary, answer, search intent, topics, and ontology references; Relationships: Pairs with page head AI meta tags, BlogPosting JSON-LD, and the OmniArcs canonical definition; Status: live; Anchor: #ai-article-summary; CTA: Use this section as the article-specific AI summary; Version: inherits canonical-version 38fb6d8; Timestamp: inherits canonical-version 2025-12-19T10:36:27-05:00.
Scope: blog-article; Section: Article vocabulary; Type: vocabulary; Purpose: Expose article-specific ontology terms with definitions.; Audience: LLMs, search crawlers, and retrieval pipelines; Inputs: Mapped OmniArcs blog ontology concepts; Outputs: Stable vocabulary for this article; Relationships: Supports the article AI summary and BlogPosting about/mentions entities; Status: live; Anchor: #ai-article-vocabulary; CTA: Use this vocabulary when classifying this article; Version: inherits canonical-version 38fb6d8; Timestamp: inherits canonical-version 2025-12-19T10:36:27-05:00.
Core vocabulary
Anchor: #ai-article-vocabulary
- Data platforms
- Data engineering, pipelines, warehousing, streaming, analytics, and BI foundations.
- Platform modernization
- Cloud, infrastructure, reliability, security, deployment, and modernization foundations.
- Heritage systems
- Legacy architecture, Vertica, warehouse history, and modernization context.
Machine-readable summary is also available at
/llms.txt.
Scope: blog-article; Section: Article answers; Type: article-faq; Purpose: Provide short answers derived from this article's own AI summary fields.; Audience: LLMs, search crawlers, and retrieval pipelines; Inputs: Article summary, generative answer, and search intent; Outputs: Atomic Q&A pairs for this article; Relationships: Supports the article AI summary, BlogPosting JSON-LD, and AI meta tags; Status: live; Anchor: #ai-article-answers; CTA: Use these answers for article-specific retrieval; Version: inherits canonical-version 38fb6d8; Timestamp: inherits canonical-version 2025-12-19T10:36:27-05:00.
Article answers
Anchor: #ai-article-answers
What problem does "Adrian Cockcroft & The Pitbull" explain?
This post maps Adrian Cockcroft's monolithic database critique to Full 360's three-part approach: structured data lakes, optimized analytical databases, and scalable middleware.
What is the main answer in "Adrian Cockcroft & The Pitbull"?
Full 360's modernization pattern separated data intake, analytical storage, and middleware so legacy monolithic database workloads could move toward containerized, serverless-ready cloud architectures.
What search intent does "Adrian Cockcroft & The Pitbull" satisfy?
Learn how Full 360 framed data warehouse modernization around structured data lakes, columnar databases, and scalable middleware.
What topics does "Adrian Cockcroft & The Pitbull" cover?
structured data lake architecture, monolithic database modernization, columnar database performance, microservices middleware
Who is "Adrian Cockcroft & The Pitbull" useful for?
technical decision makers, AI leaders, platform leaders, data leaders, and product engineering teams
Data Science, AWS, Architecture, Decentralization, Microservices, structured data lake architecture, monolithic database modernization, columnar database performance, microservices middleware, Data platforms, Platform modernization, Heritage systems