Data Glossary Lab

Data ingestion is the "digital intake system" of an AI infrastructure, representing the critical first step in the data lifecycle where information is moved from various sources into a storage or processing environment.

dbt (Data Build Tool) data transformations are the modular "assembly lines" of modern data engineering, representing a leap from rigid, hidden database procedures to transparent, version-controlled software engineering for analytics.

A Data Consumer is an individual or department that uses the data insights, reports, and dashboards provided by data professionals to make informed business decisions.

A Database is a structured storage space where data is organized into many different tables in a way that allows necessary information to be easily accessed, managed, and summarized.

A diffusion model is a class of generative AI designed to create high-fidelity data, most famously images, by learning to reverse a process of structured destruction.

Data Enrichment is the process of enhancing, refining, and augmenting raw, internal data with additional information from external sources.

Dimensionality Reduction is the architectural art of simplification. It is the process of stripping away the "noise" of excessive variables to reveal the fundamental "signal" hidden within complex data.

A Data Analyst analyzes data and reports insights from their analysis, often using a combination of coding and non-coding tools in order to support decision-making.

Data Analysis (DA) is the technical discipline focused on cleaning, transforming, visualizing, and exploring data to extract meaningful patterns and insights.