dimensions.) In a data warehouse, dimensions provide structured labeling information to otherwise unordered numeric measures. The dimension is a data set composed...

In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is...

summary used in dimensional models of data warehouses to shorten the time it takes to provide answers to typical queries on large sets of data. The reason...

typically used as measures. Data warehouse Dimension (data warehouse) Kimball, Ralph et al. (1998); The Data Warehouse Lifecycle Toolkit, p17. Pub. Wiley...

the data structure that differs from many philosophies of data warehouses. Single data (fact) table surrounded by multiple descriptive (dimension) tables...

In data management and data warehousing, a slowly changing dimension (SCD) is a dimension that stores data which, while generally stable, may change over...

rotation Curse of dimensionality String theory Infinite Hilbert space Function space Dimension (data warehouse) Dimension tables Dimensional analysis Hyperspace...

obviously must be reflected in the data warehouse. If the primary key of the source data is required for reporting, the dimension already contains that piece...

data warehouse, a degenerate dimension is a dimension key (primary key for a dimension table) in the fact table that does not have its own dimension table...

is the simplest style of data mart schema and is the approach most widely used to develop data warehouses and dimensional data marts. The star schema consists...

The common warehouse metamodel (CWM) defines a specification for modeling metadata for relational, non-relational, multi-dimensional, and most other objects...

concepts of Kimball's approach to dimensional modeling conformed dimension. The bus matrix defines part of the data warehouse bus architecture and is an output...

7ven from the 2011 album Condensate Dimension (data warehouse) § Role-playing dimension, the recycling of a dimension for multiple applications within the...

A data mart is a structure/access pattern specific to data warehouse environments. The data mart is a subset of the data warehouse that focuses on a specific...

business. MultiDimensional eXpressions (MDX) Multidimensional panel data Multivariate statistics Dimension (data warehouse) Dimension tables Data cube Maddala...

(database), database of research grants Dimension (data warehouse), a business database structure Dimension (herbicide), a weed control chemical for...

commonly found in dimensional data warehouses and data marts where speed of data retrieval is more important than the efficiency of data manipulations. As...

computer programming contexts, a data cube (or datacube) is a multi-dimensional ("n-D") array of values. Typically, the term data cube is applied in contexts...

dimensional fact model (DFM) is an ad hoc and graphical formalism specifically devised to support the conceptual modeling phase in a data warehouse project...

as opposed to the practice in other data warehouse methods of storing "a single version of the truth" where data that does not conform to the definitions...

data warehousing and business intelligence. He is one of the original architects of data warehousing and is known for long-term convictions that data...

In data warehousing, a fact table consists of the measurements, metrics or facts of a business process. It is located at the center of a star schema or...

In the data warehouse practice of extract, transform, load (ETL), an early fact or early-arriving fact, also known as late-arriving dimension or late-arriving...

information for use in a data warehouse in order to clarify the structure, content, relationships, and derivation rules of the data. Profiling helps to not...

made to enterprise data sources. For instance it can be used for incremental update of data loading. CDC occurs often in data warehouse environments since...

layers (for example a data warehouse), the valid time is controlled by the source system which delivers data to the data warehouse. For many reasons, the...

using multiple fact tables and multiple dimension tables. These schemas are implemented for complex data warehouses. The fact constellation is a measure...

OLAP cube is a multi-dimensional array of data. Online analytical processing (OLAP) is a computer-based technique of analyzing data to look for insights...

The Kimball lifecycle is a methodology for developing data warehouses, and has been developed by Ralph Kimball and a variety of colleagues. The methodology...

triple being a data entity composed of subject-predicate-object, like "Bob is 35" or "Bob knows Fred". Data warehouse – Dimension – Dimensional modeling (DM)...