By Pete Stiglich
Presents security as a vertical concern across the entire big data stack, not an afterthought. It notes that many big data ecosystems rely on maturing NoSQL technologies (e.g., MongoDB, HBase, Cassandra) whose security controls historically lagged mature relational databases. In healthcare contexts, the stakes rise because PHI may be involved. The post emphasizes designing for non-functional requirements—authentication/authorization, encryption, auditing, segregation of duties, and secure operations—alongside the excitement of scalability and flexibility. The key takeaway is that big data value collapses quickly if security and privacy aren’t engineered end-to-end.
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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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