The Enterprise Data Platform Foundation Package gives architects and technical leaders ready-to-customize implementation guides, architecture diagrams, cost analysis tools, and governance frameworks. Built from 20+ years of hands-on IT and data systems experience.
Most architecture teams spend months creating documents that already exist in other organizations.
Best practices are buried across vendor docs, conference talks, and blog posts. No single source connects architecture to implementation to cost.
Choosing streaming when batch would do, selecting the wrong ACID format, or over-engineering governance. These errors cost months and real budget.
Most guides are written by cloud vendors to sell their stack. You need cloud-agnostic principles that work across Azure, AWS, GCP, and on-premises.
20+ professional assets organized for different roles: CTO, architect, data engineer, governance lead.
110+ pages across two volumes. Lakehouse architecture, medallion zones, ingestion patterns, transformation patterns, integration architectures, and data governance. Word and PDF.
Individual+From conceptual to reference architecture level. Starter includes Draw.io + JPEG. Individual adds Visio (.vsdx) for enterprise workflows. Drop directly into your documentation.
Starter: Draw.io + JPEGInteractive Excel workbook comparing batch vs. streaming costs across Azure, AWS, and GCP. Plug in your numbers, get your business case.
Individual+PowerPoint deck ready for your architecture review board or leadership meeting. Customizable with your branding.
Individual+Assessment framework to evaluate your current platform maturity. Each tier includes its own "How to Use This Package" guide to get started immediately.
All tiersOperating model, four governance pillars, implementation roadmap, KPIs, and policy templates. Includes governance-as-code guidance.
Individual+Get reference architectures and design patterns you can adapt instead of creating from scratch.
Get the executive presentation and cost tools to justify budget and align stakeholders.
Get implementation patterns for ingestion, transformation, and integration that actually work.
Get professional deliverables you can customize for client engagements and save weeks of prep.
A data architect billing $150/hour would spend 20-40 hours creating equivalent materials. That is $3,000-$6,000 of labor.
Get the Quick-Start Assessment Checklist, one architecture diagram, and a 2-page summary of the 5 decisions that make or break your data platform.
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"I spent 20+ years building enterprise IT and data systems. I packaged everything I wish I had when I started."
Yury Potapovich is a Data Solutions Architect with over 20 years of experience designing and implementing enterprise information technology and data systems, including 8+ years focused specifically on enterprise data platforms across Azure, AWS, GCP, and on-premises infrastructure.
This package is not recycled vendor documentation. It is the distilled playbook from someone who has worked through the real tradeoffs, made the mistakes, and learned what actually works when you are building for production.
The methodology is simple: don't boil the ocean. Find real business drivers, build a minimum viable platform, and expand based on actual demand.