{"id":763,"date":"2025-11-05T02:14:17","date_gmt":"2025-11-05T07:14:17","guid":{"rendered":"http:\/\/34.133.94.6\/?p=763"},"modified":"2025-12-22T18:21:34","modified_gmt":"2025-12-22T23:21:34","slug":"big-data-as-an-archival-platform","status":"publish","type":"post","link":"https:\/\/blog.data-principles.com\/index.php\/2025\/11\/05\/big-data-as-an-archival-platform\/","title":{"rendered":"Big Data as an Archival Platform"},"content":{"rendered":"\n

By Pete Stiglich<\/em><\/p>\n\n\n\n

Explores using big data platforms as a more flexible archive approach than tapes or traditional warehouses. Operational systems purge data to meet SLAs, but regulatory retention often requires storing records in their original format, which a warehouse (integrated and standardized) may not preserve. The post contrasts \u2018archive\u2019 versus \u2018analytical integration\u2019 and suggests that a big data stack can retain raw, source-shaped historical data at scale, potentially lowering cost and simplifying retrieval. It frames this as complementary to warehousing: big data can preserve original records while warehouses serve conformed, analytics-ready views.<\/p>\n\n\n\n

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Links to third-party articles and resources are provided for informational purposes only. Data Principles, LLC does not claim ownership of, nor imply endorsement by, the referenced organizations.<\/em><\/p>\n\n\n\n

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Pete Stiglich: Trusted Expert in Data Architecture & Modeling<\/strong><\/p>\n\n\n\n

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 \u201cModeling the business before modeling the solution\u201d which provides a benefit to clients that many IT professionals miss.<\/p>\n<\/div><\/div>\n\n\n\n