Object Oriented Database | Object |
Class | Inheritance |
Encapsulation | Polymorphism |
Association | Aggregation |
A fundamental unit in an object-oriented database, representing a specific instance of a class with its own properties and behaviors. | A database that supports the modeling and creation of objects, including their properties, relationships, and methods. |
A mechanism in object-oriented databases that allows classes to inherit properties and behaviors from other classes, forming a hierarchy. | A blueprint or template for creating objects in an object-oriented database, defining their common properties and behaviors. |
The ability of objects in an object-oriented database to take on multiple forms and exhibit different behaviors based on the context. | The bundling of data and methods within a class in an object-oriented database, hiding the internal implementation details. |
A special type of association in an object-oriented database where one object represents a collection of other related objects. | A relationship between objects in an object-oriented database, typically represented by a reference or link between them. |
Query Language | Database Segmentation |
Segment | Segmentation Criteria |
Segmentation Strategy | Data Type |
Geographic Segmentation | Demographic Segmentation |
The process of dividing a large database into smaller, more manageable segments based on criteria such as data type, geography, or customer demographics. | A language used to interact with an object-oriented database, allowing users to retrieve and manipulate data stored in objects. |
The specific criteria or factors used to divide a database into segments, such as age, income level, or product preferences. | A distinct portion or subset of a database resulting from the process of database segmentation. |
The classification or categorization of data into different types such as numeric, text, date, or Boolean. | The overall approach or plan for dividing a database into segments in order to better target marketing efforts or improve data management. |
Dividing a database into segments based on demographic factors such as age, gender, income, or occupation. | Dividing a database into segments based on geographic factors such as country, region, or postal code. |
Psychographic Segmentation | Behavioral Segmentation |
Customer Segmentation | Data Warehousing |
ETL | Fact Table |
Data Mart | OLAP |
Dividing a database into segments based on behavioral factors such as purchase history, website activity, or response to marketing campaigns. | Dividing a database into segments based on psychological factors such as lifestyles, attitudes, or values. |
The process of collecting, organizing, and storing data to be retrieved and analyzed later. | The process of dividing a database into segments based on customer-related factors in order to target marketing efforts and personalize communication. |
A central table in a data warehouse that contains the primary measures or metrics of a business process. | The process of extracting data from various sources, transforming it to fit the data warehouse schema, and loading it into the data warehouse. |
The capability of a system to provide multidimensional analysis of data in a data warehouse. | A smaller, specialized subset of a data warehouse that is focused on a particular business function or department. |
Data Mining | Data Cleansing |
Business Intelligence | Data Analysis |
Dashboard | Predictive Analytics |
Data Visualization | Extract |
The process of identifying and correcting or removing errors, inconsistencies, and inaccuracies in data stored in the data warehouse. | The process of discovering patterns, insights, and valuable information from large datasets stored in the data warehouse. |
The process of inspecting, cleaning, transforming, and modeling data to discover useful information that can support decision-making in business intelligence. | A technology-driven process for analyzing data and presenting actionable information to help corporate executives, business managers, and other end-users make more informed business decisions. |
Using statistical techniques and machine learning algorithms to analyze current and historical data to make predictions about future events and outcomes in business intelligence. | A visual display of key performance indicators (KPIs) and other important business metrics, providing a real-time snapshot of the organization's performance. |
The first step in the Extract, Transform, Load (ETL) process, which involves retrieving data from various sources, such as databases, files, or APIs. | The graphical representation of information and data, using visual elements such as charts, graphs, and maps, to facilitate understanding and decision-making in business intelligence. |
Transform | Load |
Extraction | Validation |
ETL Tool | Real Time Updates |
Change Data Capture | Batch Processing |
The third and final step in the ETL process, which involves transferring the transformed data into the target database, data warehouse, or application. | 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. |
The process of ensuring the accuracy, completeness, and quality of the extracted and transformed data. | The process of retrieving or pulling data from the source systems or applications. |
The process of updating data in a data warehouse as soon as new information becomes available. | A software tool or platform that facilitates the automation and management of the Extract, Transform, Load process. |
Processing data in large blocks at scheduled intervals. | The process of identifying and capturing changes made to data in real time, enabling real time updates to data warehouses. |
Data Latency | Event Driven Architecture |
Micro-Batch Processing | Real-Time Analytics |
Multi-Dimensional Databases | Dimensions |
Cubes | Measures |
A design pattern where the flow of the application is determined by events that occur, rather than being controlled by a central program flow. | The delay between data being generated and being available for reporting and analysis in a data warehouse. |
The analysis of data as soon as it is acquired, often used to make immediate decisions or respond to events as they happen. | Where data is processed in small, fixed-size batches rather than processing the data all at once. |
The different attributes or aspects of data that can be used for analysis and organization in a multi-dimensional database. | A type of database that is designed to store and query data with multiple dimensions, such as time, location, and product. |
The numerical values or metrics that are stored in a multi-dimensional database and can be analyzed and aggregated. | The main structures in a multi-dimensional database that contain the actual data and are used for analysis and reporting. |
Hierarchies | Slicing |
Dicing | Roll-Up |
Drill-Down | Network Data Model |
Graph | Node |
The process of selecting a subset of data from a multi-dimensional database based on specific criteria or filters. | The levels of organization or categorization within dimensions in a multi-dimensional database, such as year, quarter, and month in a time dimension. |
The process of aggregating data from lower-level hierarchies to higher-level hierarchies in a multi-dimensional database. | The process of selecting multiple subsets of data from a multi-dimensional database based on multiple criteria or filters. |
A type of data model that represents data as nodes and edges, where nodes are entities and edges are relationships between them. | The process of navigating from a higher-level hierarchy to a lower-level hierarchy in a multi-dimensional database to view more detailed data. |
An individual entity or record within a network data model or graph structure | A collection of nodes and edges that are used to represent a network data model. |
Edge | Attribute |
Directed Graph | Undirected Graph |
Spatial Database | Geometric Data Types |
Spatial Queries | Urban Planning |
A property or characteristic of a node in a network data model. | A connection or relationship between two nodes in a network data model or graph structure. |
A graph in which edges do not have a specific direction, indicating non-specific relationships between nodes. | A graph in which edges have a specific direction, indicating relationships between nodes. |
Data types that represent geometric objects such as points, lines, and polygons, allowing for the modeling of spatial features in a database. | 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. |
A discipline that focuses on the development and design of land use and the built environment. | Queries that involve location-based conditions, enabling the retrieval of data based on spatial relationships and geographic criteria. |
Environmental Monitoring | Transportation Systems |
Point | Line |
Polygon | Raster Data Model |
Cell | Scalability |
A network designed for the movement of people and goods, encompassing various modes of transport. | The process of systematically sampling the environment to analyze and track changes over time. |
A depiction of connections or paths between points, represented as a sequence of coordinates, used for mapping linear features. | A specific location in a given space represented by a set of coordinates, such as latitude and longitude. |
A method of representing spatial data through a grid of cells, where each cell holds a specific value representing a characteristic of the area it covers. | An enclosed shape that represents areas or surfaces, defined by a series of connected lines forming a closed loop. |
The capability of a system to handle a growing amount of work or its potential to accommodate growth. | The individual unit in a raster model that holds a value corresponding to the attribute being represented. |
Distributed Data Storage | Real-Time Spatial Data |
Stream Processing Frameworks | Data Integration |
Standardization | Performance Bottleneck |
Spatial Index |
Data that changes dynamically over time and has a geographical component, essential for applications like navigation and traffic monitoring. | A data storage approach where data is stored across multiple locations, enhancing access speed and reliability. |
The process of combining data from different sources into a unified view. | Technologies designed to handle continuous flows of data in real-time, improving the management and analysis of rapidly changing information. |
A point in the system where the performance is significantly limited or delayed. | The act of making data uniform to ensure consistency across different datasets. |
A data structure that enhances the performance of spatial queries by organizing spatial data in a way that supports efficient searching. |