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.
Many 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.
Some 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.
100+ pages across two volumes. Lakehouse architecture, medallion zones, ingestion patterns, transformation patterns, integration architectures, and data governance. Word and PDF.
IndividualFrom 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.
IndividualPowerPoint deck ready for your architecture review board or leadership meeting. Customizable with your branding.
IndividualAssessment 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.
IndividualGet 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.
Get professional deliverables you can customize for client engagements and save weeks of prep.
A data architect billing $150/hour could spend 20-40 hours or more 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 IT and data systems. I created this package because I really want to help others navigate the complexity of data platform design and implementation."
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 data platforms across cloud and on-premises infrastructure.
This package is aimed to help. The methodology is simple: don't boil the ocean. Find real business drivers, build a minimum viable platform, and expand based on actual demand.