a database schema having a single root table connected to a multiplicity of linked tables

a specialized design that consists of multiple dimension tables, and one fact table

A modeling scheme that has a single object in the middle connected to a number of objects around it radially - hence the name star. A fact such as sales, compensation, payment, or invoices is qualified by one or more dimensions such as by month, by product, by geographical region. The fact is represented by a fact table and the dimensions are represented by dimension tables.

A model where the tables are denormalized in a very specific way, usually for a specific application or set of queries. It optimizes specific sets of joins and is a PDM technique that should not be used during LDM where normalization is the ideal. Also known as dimensional modeling. The basic premise of the Star Schema is that information can be classified into 2 groups: Facts: Core elements being analyzed e.g., point-of-sale (POS) data There are no cyclic or recursive join paths Denormalized to avoid multi table joins (for performance) Dimensions: Attributes of the facts e.g., product, market, promotion ,time Most if not all analysis is based upon dimensions Every PK of a dimension table is an FK in the fact table

A relational database schema for representing multidimensional data. The data is stored in a central fact table, with one or more tables holding information on each dimension. Dimensions have levels, and all levels are usually shown as columns in each dimension table.

The type of relational database schema used by DB2 OLAP Server. When you use the Application Manager to create a multidimensional database, DB2 OLAP Server creates a main fact table and a set of dimension tables. The fact table holds the actual data values for the database, and the dimension tables hold data about members and their relationships.

A fact table and a set of dimension tables. The fact table holds the actual data values for the database, and the dimension tables hold data about members and their relationships. When you use the Application Manager to create a multidimensional database, the relational storage manager creates this type of relational database schema.

A method of organizing information in a data warehouse that allows the business information to be viewed from many perspectives. The star is a picture of the way the data is being stored. The basic factual information is in the middle of the star. The points of the star represent various perspectives from which the factual information can be viewed.

A relational schema whose design represents a multidimensional data model. The star schema consists of one or more fact tables and one or more dimension tables that are related through foreign keys. See Also: schema and snowflake schema

A relational database structure in which data is maintained in a single fact table at the center of the schema with additional dimension data stored in dimension tables. Each dimension table is directly related to and usually joined to the fact table by a key column. Star schemas are used in data warehouses.

A type of relational database schema made up of a fact table and a set of dimension tables. In Tivoli Data Warehouse, the fact table holds the values of the component's metrics, and the dimension tables hold the values of the attributes of a component or a metric.

Arrangement of data in a relational database. In the middle is the fact table, whose columns constitute the multidimensional measures. The branches of the star, which radiate from the fact table, correspond to the dimensions. The conceptual data model represents this star schema.

A star schema is a set of tables comprised of a single, central fact table surrounded by de-normalized dimensions. Each dimension is represented in a single table. Star schema implement dimensional data structures with de-normalized dimensions. Snowflake schema are an alternative to star schema.

The star schema (sometimes referenced as star join schema) is the simplest data warehouse schema, consisting of a single "fact table" with a compound primary key, with one segment for each "dimension" and with additional columns of additive, numeric facts.