By Pete Stiglich Explains that enterprise data initiatives succeed when business involvement is strong, and it distinguishes three kinds of involvement: stakeholders, data governance, and…
A Wish List for Data Modeling Technology
By Pete Stiglich A practitioner’s “wish list” for what modern data-modeling tools should do better: support collaboration, manage definitions and metadata as first‑class artifacts, and…
Healthcare Data Modeling Governance
By Pete Stiglich Discusses why healthcare environments need both strong data modeling discipline and governance to achieve trustworthy analytics and compliance. It highlights that complex…
A Low Cost Big Data Integration Option?
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…
Big Data as an Archival Platform
By Pete Stiglich Explores using big data platforms as a more flexible archive approach than tapes or traditional warehouses. Operational systems purge data to meet…
Big Data Security
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…
