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1. The process of combining data from different sources into a unified view.
2. A network designed for the movement of people and goods, encompassing various modes of transport.
3. A relationship between objects in an object-oriented database, typically represented by a reference or link between them.
4. The ability of objects in an object-oriented database to take on multiple forms and exhibit different behaviors based on the context.
5. The classification or categorization of data into different types such as numeric, text, date, or Boolean.
6. Dividing a database into segments based on behavioral factors such as purchase history, website activity, or response to marketing campaigns.
7. Processing data in large blocks at scheduled intervals.
8. Dividing a database into segments based on geographic factors such as country, region, or postal code.
9. A type of data model that represents data as nodes and edges, where nodes are entities and edges are relationships between them.
10. The process of dividing a database into segments based on customer-related factors in order to target marketing efforts and personalize communication.
11. Dividing a database into segments based on demographic factors such as age, gender, income, or occupation.
12. The overall approach or plan for dividing a database into segments in order to better target marketing efforts or improve data management.
13. A visual display of key performance indicators (KPIs) and other important business metrics, providing a real-time snapshot of the organization's performance.
14. The second step in the ETL process, which involves converting and restructuring the extracted data into a format suitable for the destination system or application.
15. The bundling of data and methods within a class in an object-oriented database, hiding the internal implementation details.
16. A database that supports the modeling and creation of objects, including their properties, relationships, and methods.