Definition
Data Warehouse
A centralized repository where structured data from multiple sources is stored and organized for analysis. Common platforms include Snowflake, BigQuery, and Redshift.
From the episode “The AI Analyst That Never Sleeps: Burak Karakan of Bruin”Hear it on the podcast1 episode
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Related terms in Product & Engineering
Data miningFinding patterns and trends in large datasets using statistics and machine learning.Data modelingHow information is structured and related so a system can query and trust it.Data Provenance (Security Context)The verified, cryptographically attested record of where data came from - which device produced it, which identity authorized it, through which workflow it passed - as a security property rather than just a metadata label. In the AI era, data provenance is the architecturally correct answer to synthetic media and deepfakes: instead of trying to detect whether content was AI-generated (an arms race that detectors will lose), you attest the chain of custody from origin to recipient. Jasson Casey's prediction: device-bound credentials will extend beyond authenticating humans to attesting the provenance of data produced by cameras, microphones, sensors, and implants. The camera on a phone will have a passkey; the microphone will have a passkey. Anything that generates consequential data will eventually need a way to attest its origin - not because the content cannot be faked, but because provenance establishes authorization.Data sourceWhere your records live — Airtable, Google Sheets, Supabase, or a REST API. Softr connects to these sources and builds the interface and logic on top without migrating the data.Dedicated capacityBooking your own GPU capacity for very large workloads, sometimes for a custom fine-tune.DeployPublishing code so the site is live on the internet.DeprecationWhen a vendor retires a tool or model, forcing users to migrate.Design SystemA central system of record for all building blocks of a digital product — 'a well-organized bucket of Lego bricks' containing every component, variant, rule, and constraint. More than a component library: a design system encodes the rules governing how elements connect, making it the substrate for consistent product experiences and enterprise-appropriate AI generation. Without a structured design system providing context, AI-generated UI is a prototype tool; with one, it becomes a production capability.