Definition
Data mining
Finding patterns and trends in large datasets using statistics and machine learning.
Learn the language of AI-native founders
Every week: the new terms, tools, and workflows founders are using, straight from the podcast.
Related terms in Product & Engineering
Data catalogEnterprise software that indexes an organization's data so teams can find, govern, and trust it. The category data.world built in.Data governanceThe policies covering how data is stored, retained, protected, and audited.Data gravityThe tendency of applications and workloads to cluster around large data stores.Data lakeA centralized repository for structured and unstructured data. Not an Excel file, no matter what the filename says.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.Data WarehouseA centralized repository where structured data from multiple sources is stored and organized for analysis. Common platforms include Snowflake, BigQuery, and Redshift.