dimension 3000

physical model of the Data Warehouse.2. Basic concepts of fact tables and dimension tablesSimply speaking, the dimension table is the angle (dimension) in which you observe the object, and the fact table is what you want to focus on.For example, to analyze the sales of products, you can choose to analyze by product category, or by time, such as the press. The an

results. Second, the difference between the middle level and the grade of the dimensionWhen defining dimensions in OLAP , layers (Hierarchy) and levels are two confusingconcepts. Simply put, a layer is a classification of dimension members, which is the inclusion relationship between dimension members or dimension member properties. A

0x00 Preface The following content, is the author in the study and work of some summary, of which the concept of most of the content from the book, the practical content mostly from their own work and personal understanding. Due to the lack of qualifications, there will inevitably be many mistakes, I hope to criticize. Overview The Data warehouse contains a lot of content, which can include architecture, modeling, and methodologies. For specific work, it can include the following: A data archit

VC Dimension ( Vapnik-Chervonenkis dimension) Is an important indicator of function set learning performance defined by statistical learning theory to study the speed and promotion of consistent convergence in the learning process. The traditional definition is: For an indicator function set, if H samples exist, functions in the function set can be separated by all possible forms of K power of 2, the functi

Beginners Guide to learn Dimension Reduction techniquesintroduction Brevity is the soul of wit This powerful quote by William Shakespeare applies well to techniques used in data Science Analytics as well. Intrigued? Allow me to prove it using a short story.In could ', we conducted a data Hackathon (a Data science competition) in DELHI-NCR, India.Register for Data Hackathon 3.0–the Battle of survivalWe gave participants the challenge to

Original: SSAS Series--"02" Multidimensional Data (Dimension object)1. What is dimension? In mathematics, it is called a parameter, which is the number of independent space-time coordinates in physics. 0-Dimensional is a point, 1-dimensional is a line, 2-dimensional is a long and wide (or curved) area, 3-dimensional is 2-dimensional plus the height to form the volume surface. In physics, Time is the fourth

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"

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

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