Data integration
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Data Integration
Data Integration (pronunciation: /ˈdeɪtə ˌɪntɪˈɡreɪʃən/) is the process of combining data from different sources into a single, unified view. It involves the ingestion, cleansing, transformation, and delivery of data from various sources.
Etymology
The term "Data Integration" is derived from the English words "data", meaning facts and statistics collected for reference or analysis, and "integration", meaning the action or process of integrating. The term has been in use since the late 20th century, coinciding with the rise of information technology and database management systems.
Related Terms
- Data Warehousing: A system used for reporting and data analysis. It is considered a core component of business intelligence.
- Data Mining: The process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.
- Data Mapping: The process of creating data element mappings between two distinct data models.
- Data Transformation: The process of converting data from one format or structure into another format or structure.
- Data Cleansing: The process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database.
- Data Ingestion: The process of obtaining and importing data for immediate use or storage in a database.
See Also
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