Data teams have had two ways to give an AI agent access to a production database, and neither works particularly well. Saying no has stalled countless pilots at the security review. Handing over a ...
A practical guide to how databases work, covering schema design, SQL, indexing, transactions, concurrency, caching, pagination, and database selection.
Electronic component inventory is one of the more demanding data management challenges in manufacturing. The combination of ...
Regular, versioned backups of SCADA projects should be managed diligently. Without them, you may or may not be able to ...
I audited my own hash chain and append-only ledgers in production. The chain held. Twenty-one ledger rows did not add up, and all of them were mine.
Getting context right is crucial for success with enterprise AI, but no one’s 100% there yet. We catch up with the thinking ...
New semantic generators turn definitions and relationships in enterprise data models into reusable semantic layers for ...
ER/Studio, an enterprise data architecture and modeling platform, is announcing the availability of ER/Studio 21.1-introducing new semantic generation capabilities in Data Architect that transform ...
DataCebo is the company behind the Synthetic Data Vault (SDV), the source-available ecosystem that pioneered generative modeling for tabular and enterprise relational data. Originating at MIT's Data ...
LibreDB Studio is a new browser-based SQL IDE for managing multiple database engines through a self-hosted interface.
Semarchy, a provider of Master Data Management, is evolving traditional MDM into Intelligent Data Products—delivering self-service Intelligent Data Products with built-in context, reasoning, and ...
Batch and streaming are two different ways of processing data, and both are relevant in today’s world. Pick the approach that’s right for you without falling ...
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