Data integration is the process of combining data from multiple sources into a single view to provide a unified perspective for analysis and decision making. It involves extracting, transforming, and loading data from different sources and systems, overcoming challenges like data security, compatibility, and silos. Common tools and approaches for data integration include ETL, real-time integration, batch integration, and hybrid methods.