By Pete Stiglich
Argues that big data platforms are not a silver bullet unless organizations can understand and integrate their data effectively. After acknowledging typical benefits (scalability, performance, potentially lower TCO), the article proposes Semantic Web technologies as a low-cost integration alternative to traditional tooling. It highlights open standards like RDF and OWL (and related tooling) to represent data in a flexible graph form, enabling integration across heterogeneous sources. The underlying idea is that semantics and shared meaning are the real integration bottleneck; standards-based semantic technologies can reduce vendor cost while improving interoperability and evolvability.
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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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