DISCOVERY OF FACTSFILE SYSTEMMultidimensional Data-warehousing applications play prominent role in facilitating business intelligence, and subsequent strategic decision making for the industry. It provides a good starting point for data-mining applications, which cater to different segments of industry, ...
The data in the retailer's data warehouse system has two important components: dimensions and facts. The dimensions are products, customers, promotions, channels, and time. One approach for identifying your dimensions is to review your reference tables, such as a product table that contains eve...
Although the type 2 change preserves the historic context of facts, it does not preserve history in the dimension. It is easy to see that a given natural key has taken on multiple representations in the dimension, but we do not know when each of these representations was correct. This infor...
A Slowly Changing Dimension (SCD) is a dimension that stores and manages both current and historical data over time in a data warehouse. The strategy of how to keep historical data is called slowly changing dimension strategy. In data warehousing, there are three commonly recognized types of SCD...
The framework allows for capturing supplier-level and network-level information and bases the optimal decision-making process on such facts. Thus, the framework would improve the likelihood of achieving contract performance goals. A system of incentives and penalties also serves as continual ...
OLAP systems support data analysis through a multidimensional data model, according to which data facts are viewed as points in a space of application-related "dimensions" , organized into levels which conform a hierarchy. Although the usual assumption is that these points reflect the dynamic aspect...
Surrogate identifiers enable you to hook facts to any dimension level as opposed to the lowest dimension level only. You must use a surrogate key if: your dimension is a Type 2 slowly changing dimension (SCD). In these cases, you can have multiple dimension records loaded for each Natural ...
In general, the high complexity and long execution time of most data warehouse queries make the compression of dimension text attributes (and possible text attributes that may exist in the fact table, such as false facts) an effective approach to speed up query response time. The proposed ...