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1. A depiction of connections or paths between points, represented as a sequence of coordinates, used for mapping linear features.
2. Where data is processed in small, fixed-size batches rather than processing the data all at once.
3. The process of retrieving or pulling data from the source systems or applications.
4. The different attributes or aspects of data that can be used for analysis and organization in a multi-dimensional database.
5. The analysis of data as soon as it is acquired, often used to make immediate decisions or respond to events as they happen.
6. A special type of association in an object-oriented database where one object represents a collection of other related objects.
7. The process of navigating from a higher-level hierarchy to a lower-level hierarchy in a multi-dimensional database to view more detailed data.
8. The process of inspecting, cleaning, transforming, and modeling data to discover useful information that can support decision-making in business intelligence.
9. A type of database specifically designed to store and manage spatial data, which includes information about the position, shape, and relationship of objects in space.
10. The individual unit in a raster model that holds a value corresponding to the attribute being represented.
11. Queries that involve location-based conditions, enabling the retrieval of data based on spatial relationships and geographic criteria.
12. The bundling of data and methods within a class in an object-oriented database, hiding the internal implementation details.
13. A relationship between objects in an object-oriented database, typically represented by a reference or link between them.
14. A mechanism in object-oriented databases that allows classes to inherit properties and behaviors from other classes, forming a hierarchy.
15. 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.
16. The process of identifying and capturing changes made to data in real time, enabling real time updates to data warehouses.
17. A distinct portion or subset of a database resulting from the process of database segmentation.
18. Using statistical techniques and machine learning algorithms to analyze current and historical data to make predictions about future events and outcomes in business intelligence.
19. A point in the system where the performance is significantly limited or delayed.