By Pete Stiglich
Focuses on how cloud migrations deliver the most value when they are coupled with architectural modernization rather than simple ‘lift and shift.’ The article emphasizes adopting a data architecture that fits legacy and current databases, clarifying target-state patterns, and addressing performance, governance, and operating-model changes. It suggests that cloud value comes from rethinking how data is stored, accessed, integrated, and managed—often through standardization and platform services—so migrations reduce technical debt instead of recreating it. The theme is pragmatic: plan for design, not just relocation, to realize ROI.
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Pete Stiglich: Trusted Expert in Data Architecture & Modeling
Pete has over 30 years of data architecture, data management, and analytics experience, most of that time as a consultant in industries such as government, finance, healthcare, insurance, and more. He is an industry thought leader in data architecture and data modeling and has developed and taught many courses on these topics. Pete enjoys helping clients solve complex data problems, leveraging proven approaches such as “Modeling the business before modeling the solution” which provides a benefit to clients that many IT professionals miss.
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