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Data Integration

Last updated Sep 25, 2024

Data integration is a crucial process in the world of data management, where we bring together data from varied source systems to create a cohesive, unified view. This integration can happen in multiple ways, such as through manual effort, data virtualization, application integration, or by migrating data from numerous sources into a singular, integrated destination. We delve into these methods of data integration in the discussion below.

For a deeper dive, see Data Integration Iceberg and explore more in the Data Integration Guide: Techniques, Technologies, and Tools | Airbyte.

# Data Integration vs. Data Ingestion

Often, the lines between data integration and Data Ingestion seem blurred, with the differences appearing minimal. However, a subtle distinction lies in their scopes. Data ingestion is a broader concept, concerned with the movement of data from sources to destinations. On the other hand, data integration is more nuanced, focusing particularly on the consolidation of data within platforms like Data Warehouse, Data Lake, or other data platforms.