adobe dimension

Instance description 1:Slowly changing dimensions. For example, if you register a csdn account with the address, phone number, and other information you fill in, your address will change, but it will change once in a long time. This is a Slow Changing Dimension. See type1, type2, and type3.Type1-full coverage, keep the latest data (keep most recent values in target)Type2-full history (keep a full history of changes in the target)Type3-keep the latest

name calculation can be used to generate descriptive Dimension member names, define other user hierarchies, or specify the names of "(all)" members, to improve user-friendly features of the dimension. You can specify the "all"-level Member names of the Attribute Hierarchy based on the "all"-level Member names of each user hierarchy. In tasks under this topic, a user hierarchy is defined in the "product"

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Explanation 1: Fact tables are data tables combined by a certain field of analysis.The latitude table is a combination of analysis indicators in this field. Interpretation 2: To put it simply;A fact table is a transaction table.A dimension table is a basic table.Used to explain the specific content of the keyword latitude in a fact table. Explanation 3: Fact data tableThe central table in the data warehouse architecture, which contains the d

Original: http://blog.csdn.net/keith0812/article/details/8901113The support vector machine method is based on the VC dimension Theory of statistical learning theory and the minimum principle of structural risk.Structured riskStructured risk = empirical risk + confidence riskEmpirical risk = error of the classifier on a given sampleConfidence risk = Error of the result that the classifier classifies on unknown textConfidence Risk Factors:The number of

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When we create dimensions in SSAs, it is sometimes possible that one dimension needs to use multiple table fields as dimension attributes, so there is bound to be an association between the multiple tables, but remember that the correlation between the dimension tables and only one cannot have multiple, let's look at an example.Now we have created a

The support vector machine method is based on the VC dimension Theory of statistical learning theory and the minimum structure risk principle.Confidence risk: The classifier classifies the unknown sample and obtains the error. Experiential risk: A well-trained classifier that re-classifies the training samples. That is, sample error structure risk: Confidence risk + empirical risk structure risk minimization is a strategy proposed to prevent overfitti

Tags: http data problems ad EF Time Database. Net TT Bi Data Warehouse product database storage A typical example is to compare a logical business to a cube. The product dimension, time dimension, and location dimension are different coordinate axes, and the intersection of coordinate axes is a specific fact. That is to say, a fact table is an intersection of m

The primary key in a dimension table usually has two choices: the Natural key (Natural key), which is already present in the business system, usually a character-type marker with a certain business meaning, which uniquely flags each of the dimension tablesRecording. Like whatOrganization's code, abbreviations, time tags, and so on. The other is the surrogate key (surrogate key), which is usuallyA numeric va

Abstract Yes With the development of computers and the increasing number of data islands in information systems, how to use the data is a problem facing every enterprise.ETLYesexponential Data Extraction(Extract), Data Conversion(Transform)And Data Loading(Loading)And plays a key role in the application of data warehouse.ETLUse these data islands to form a data warehouse,It is an extremely important part in building a data warehouse. Slow change dimen