Intermediate · Data
Data integration
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. Combining data from different sources to provide a unified view, crucial for handling large and diverse datasets.
Technical Definition
Combining data from different sources to provide a unified view, crucial for handling large and diverse datasets.
How it works
Data integration is a key process for merging data that resides in different sources, presenting it as a single, unified view. This is essential in scenarios like company mergers or scientific research where data from various repositories needs to be combined.
Related Concepts
- Data fusion — Combining data from multiple sources to create more accurate and useful information than any single source provides.
- Data warehouse (DW or DWH) — A central system for reporting and analysis that integrates historical and current data from various sources into one repository.