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Convert: definitions of fact tables and dimension tables in Bi

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 multiple dimension tables. A dimension table is a window for analyzing facts. First, we wi

Step by step learn Bi (3)-integration services create ETL packages

Microsoft integration services is a platform that can generate high-performance data integration solutions, including extracting, transforming, and loading (ETL) packages for data warehouses. Integration Services includes graphical tools and wizard used to generate and adjust packages; tasks used to execute workflow functions (such as FTP operations), execute SQL statements, and send emails; the data sources and targets used to extract and load data. They are used to clear, aggregate, merge, and

Exploring Bi Data Mining

mining. In business intelligence, data mining is the highest level. Nowadays, the value of popular big data is often reflected by data mining. If we say that the Bi process can be seen as the data yesterday, today and tomorrow, and the data yesterday, we can use reports to tell you what happened before the business, the data today, multi-dimensional analysis and other tools tell you why this happened. The data tomorrow is to use data mining algorith

Bi (ETL-DW)

The company has been involved in the development of Bi projects for a period of time, but it is only developed as needed. This afternoon, the company will train you on the knowledge of data warehouses, let's hear about the two to three hours, what latitude, theme, and almost stunned. Finally, we demonstrated the Bi-based cost analysis system, which feels complicated, it is complicated for medical project se

6 tasks to prepare before BI system planning

chain, it is necessary to consider whether to establish a new report, how to implement the data source, and how to distribute the responsibility of data entry and maintenance. Conversely, the value and necessity of the existence of a report that is unrelated to any of the indicators needs to be elaborated.The sixth step: after the establishment of the index system and reporting system, how to show more can explain the problem? On the other hand, how to show the source data of the indicator and

SSAS & Excel BI Tips Chapter Three: Pivot Chart

directly share a recent in-spread article (http://daily.zhihu.com/story/4360204), is about Excel PivotChart report fever gameplay, often see some bi products in the promotion of the idea of throwing some ideas, Say your product chart is how gorgeous, quickly abandon ugly Excel bar, Excel PivotChart report may indeed not be as good as some professional charting tools, but definitely not ugly, in addition, it is also the advantages of PPT and word seaml

"Bi thing" data stream conversion--character mapping table

Source: "Bi thing" data stream conversion--character mapping tableThe feature map transformation shows the characteristics of the columns in the data stream, the editing interface is simple, there is only one label interface, click on the column to be mapped, you can choose to add a new column or need to update the column. You can give an alias to the original column in the Output alias column, and select the action you want to take, with the followin

"Bi thing" data flow conversion-multicast, Union all, merge, merge Join

Source: "Bi Thing" data flow conversion-multicast, Union all, merge, merge JoinSet up test data:CREATE TABLEFactresults (NameVARCHAR( -), CourseVARCHAR( -), scoreINT )INSERT intofactresults (Name, Course, score)SELECT 'Zhang San' , 'language' , - UNION All SELECT 'Zhang San' , 'Mathematics' , the UNION All SELECT 'John Doe' , 'language' ,

"Bi thing" analysis of 13 kinds of commonly used data mining technology

The original: "Bi thing" analysis of 13 kinds of commonly used data mining technologyFirst, the forefrontData mining is from a large number of incomplete, noisy, fuzzy, random data, the extraction of hidden in it, people do not know beforehand, but also potentially useful information and knowledge of the process. The task of data mining is to discover patterns from the data set, there are many kinds of patterns that can be found, according to the func

"Bi thing" data stream conversion--Lookup transformation

Source: "Bi thing" data stream conversion--Lookup transformationThe Lookup transformation performs a lookup by joining the data in the input column and the columns in the reference dataset. is the exact match lookup.Finds all source table records in the source table that can be associated with a Word table.Prepare the data.SOURCE Table T_qualmoisture_middle_detailDictionary table t_dic_qualprocessData Flow task Design diagram:Design steps:"

"Bi thing" SSRS charts and meters--analysis of the Three Kingdoms Superior counsellors, Commander data (illustrated)

In the original: "Bi Thing" SSRS charts and meters--radar analysis three superior counselors, Commander data (illustrated)Radar chart analysis of the three countries superior counsellors, commander of the data, dedicated to the vast number of enthusiasts, hope to like the three friends to discuss, deepen the legend of the three times of understandingEstablish the Data Environment:--extracting top 10 data from three superior counsellorsDECLARE @t1 TABL

Bi-ssas Introduction

first, what is it? SSAS is a component used for SQL Server databases for BI, which enables you to create multidimensional databases and perform data mining operations on top of them. In this article, we mainly introduce some knowledge about SSAS data analysis. Next, let's get to know each other. Business Intelligence provides solutions that capture data from a variety of data sources and can transform all kinds of data into the same format for stor

Java Base exception (Bi Xiangdong teacher)

();}public void Prelect (){try{Comp.run ();System.out.println (name+ "lectures");}catch (lanpingexception e){Restart your computerComp.reset ();Prelect ();}catch (maoyanexception e){Test ();Throw e;throw new}}public void Test (){System.out.println ("everyone exercises");}Class Exception{public static void Main (string[] args){Teacher t=new Teacher ("Teacher bi");T.prelect ();}}//try{}catch (Exception Class){exception handling;}finally{Code that is bo

"Bi thing" Microsoft sequential analysis and clustering algorithm

In the original: "Bi thing" Microsoft sequential analysis and clustering algorithmThe Microsoft Sequential Clustering algorithm is a sequential parsing algorithm provided by Microsoft SQL Server Analysis Services. You can use this algorithm to study data that contains events that can be linked by the following path or "order". The algorithm finds the most common order by grouping or classifying the same order. Here are some examples of the order:

"Bi thing" Microsoft neural network algorithm

In the original: "Bi thing" Microsoft neural network algorithmThe Microsoft Neural Network is by far the most powerful and complex algorithm. To find out how complex it is, look at the SQL Server Books Online description of the algorithm: "This algorithm establishes a classification and regression mining model by establishing a multi-layered perceptual neuron network." Similar to the Microsoft Decision tree algorithm, when each state of a predictable

"Bi thing" data mining algorithms--verification of accuracy

In the original: "Bi thing" data mining algorithms--verification of accuracyAccuracy Validation Example 1 :--based on kingdoms DatabaseData preparation:Mining Model:In order: Naive Bayes algorithm, cluster analysis algorithm, decision tree algorithm, neural network algorithm, logistic regression algorithm, correlation algorithmLift Chart:Rank to:1. Neural Network algorithm (92.69% 0.99)2. Logistic regression algorithm (92.39% 0.99)3. Decision Tree Alg

Power BI for Office 365 (eight) shared query

In power query, you can not only search online data, but also publish your own data to a line for other people to retrieve. Power query provides this built-in sharing capability through the Power BI site. In Excel, Anna opens the workbook she wants to share, which contains the 2009 Nasdaq data she previously downloaded in power query. She then decided to publish the data of her own organization to the Power BI

"Bi thing" data stream conversion--ole DB command Conversion

In the original: "Bi thing" data stream conversion--ole DB command ConversionThe OLE DB command executes an OLE DB command on the data rows in the data flow. It updates each row in the data table and stores the data that will be updated in the table beforehand. Or for a stored procedure with input parameters, these parameters can be stored in a data table without having to enter parameters each time.Sample Data Preparation:CREATE TABLE INT INT ) CREA

"Bi thing" Microsoft decision Tree algorithm--Find out the characteristics of the Three Kingdoms, dedicated to the broad three enthusiasts

Bu, Zhao Yun, Zhangliao, Ma Chao, Sun Ce, Sun Jian, Zhang Fei, Deng Ai, ganningSELECT TOP Ten * fromFactSanguo11WHERE [Command] + [Armed Forces] > MaxORDER by [Command] + [Armed Forces] DESC--intellectual politics Top 10: Zhuge Liang, Xunyu, Sima Yi, Cao, Zhou Yu, Lu Su, Guo Jia, brag, Zhow, Pang TongSELECT TOP Ten * fromFactSanguo11WHERE([Intelligence] + [political] > the ) and([Intelligence] >= - )ORDER by [Intelligence] + [political] DESCAnalysis Process:"

"Bi thing" Microsoft linear regression algorithm

the relationship between two contiguous columns. For example, you can use linear regression to calculate trend lines based on production or sales data. You can also use linear regression as a basis for developing more complex data mining models to evaluate the relationships between columns of data.Although there are many ways to calculate linear regression, and these methods do not require data mining tools, the advantage of using the Microsoft linear regression algorithm to calculate linear re

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