Data Integration - Page 3

Data Integration is the process of combining data from different sources to provide a unified view for analysis, reporting, or operational purposes. This process involves accessing, cleaning, transforming, and consolidating data from disparate systems, databases, or formats, ensuring it is consistent and accurate. Data integration aims to enhance data quality and create a comprehensive dataset that can be easily analyzed or used in business intelligence tools, enabling organizations to make informed decisions based on a complete picture of their data. Techniques used in data integration include ETL (Extract, Transform, Load), data warehousing, and real-time data integration. Overall, effective data integration helps break down silos within organizations, enhances collaboration, and improves data-driven insights.