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ETL Pipeline

ETL (Extract, Transform, Load) is an automated data processing pattern where data is extracted from source systems, transformed into a desired format or structure, and loaded into a target system like a data warehouse. Modern variations include ELT, where raw data is loaded first and transformed in place. ETL pipelines are essential for automating data integration, reporting, and feeding clean data into ML training workflows.

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Related Terms

Lazy Loading

Lazy loading is a performance optimization technique that defers loading of non-critical resources until they are actually needed — typically when they enter the viewport. It is commonly applied to images, videos, and below-the-fold components to speed up initial page load. Modern browsers support native lazy loading via the `loading="lazy"` attribute, while JavaScript-based solutions offer more control through Intersection Observer.

Canary Release

A canary release is a deployment strategy where a new version is gradually rolled out to a small subset of users before reaching the full audience. Automated monitoring compares error rates, latency, and key metrics between the canary and the stable version. If the canary performs well, traffic is incrementally shifted; if anomalies are detected, the release is automatically rolled back, minimizing the blast radius of potential issues.

Blue-Green Deployment

Blue-green deployment is a release strategy that maintains two identical production environments — "blue" (current) and "green" (new version). Traffic is switched from blue to green only after the new version passes all health checks, enabling zero-downtime releases. If issues are detected, traffic can be instantly routed back to the blue environment, making rollbacks trivial and fully automated.

Large Language Model

A large language model (LLM) is a deep learning model trained on massive text datasets to understand and generate human-like text. LLMs like GPT, Claude, and LLaMA power chatbots, code assistants, and content generation tools. They work by predicting the next token in a sequence based on learned statistical patterns across billions of parameters.

Atomic Design

Atomic Design is a methodology by Brad Frost for creating design systems by breaking interfaces into five hierarchical levels: atoms (basic HTML elements), molecules (simple component groups), organisms (complex UI sections), templates (page-level layouts), and pages (specific instances with real content). This approach provides a consistent mental model for organizing component libraries in React, React Native, or Flutter projects and ensures systematic scalability of the UI.

Flutter

Flutter is Google's open-source UI toolkit for building natively compiled applications for mobile, web, and desktop from a single Dart codebase. Unlike React Native which maps to platform-native UI components, Flutter renders everything with its own high-performance Skia/Impeller rendering engine, giving developers pixel-perfect control over every element on screen. This approach ensures identical visual output across platforms but means Flutter widgets don't automatically adopt platform-specific design conventions.

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