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Dimension Modeling Method Dimension modeling organizes information into structs, which typically correspond to the query methods that analysts want to use for data warehouse data. How much food sales were in the northwest in the third quarter of 1999. Represents the use of three dimensions (product, geography, time) t
this scenario, users can comment on images, articles, and other resources. All comments are included in the comment set. If you only use Manual References, I cannot tell which type of resources the comment belongs to, pictures? Article ?. So we have DBRef. DBRefFormat: {$ ref: , $ Id: , $ Db: } $ Ref: Set Name; $ id: referenced id; $ db: Database Name; optional parameter. It can be seen that the structure of DBRef is more complex than that of Manual References, which occupies a l
This article was reproduced from: http://coolshell.cn/articles/7270.html ================================================ Full-text translation from the wall of the article "NoSQL Data Modeling techniques", translation is not good, please forgive me. After reading this article, you may feel a little bit about NOSQL data structures. My feeling is that the relation
example, each system has customer data. When establishing a data warehouse application for a bank, the data in the above production system should be converted to the data warehouse. From the perspective of the entire bank, its data model is no longer oriented to individual
Tags: des Lucene style blog http io ar os useOriginal from " NoSQL Data Modeling techniques ", compiled by the cool shell net Chenhao NoSQL Data Modeling Technology ". After reading this article, you may feel a little bit about NOSQL data structures. My feeling is that the r
IntroductionThe evaluation of several modeling tools was highlighted in the previous blog, and SQL Power architect was selected as the final modeling tool, and the Oracle Data Modeler support Vertica was also studied during the evaluation process, although the eventual abandonment of Oracle data Modeler, but the scalab
Parse the Data Modeling Method in AngularJS framework, angularjs framework As we know, AngularJS does not come with other available data modeling solutions. In a rather abstract way, we can use JSON data as the model in the controller. However, as time passes and projects gr
1. Define the mining target To understand the real needs of users, to determine the target of data mining, and to achieve the desired results after the establishment of the model, by understanding the relevant industry field, familiar with the background knowledge. 2. Data acquisition and processing of clear mining objectives, the need to extract from the business data
Data modeling of Enterprise Architect 8 (CREATE TABLE) ---------- 1. We create a view of the database modeling 1.1 The New Diagram window, select Extended on the left select from and select data types in the right diagram modeling. 1.2 Open the Diagram window, you can choose
Recently, I saw an article in my blog "converting the Document Forwarding process custom data modeling. I am going to raise this topic for discussion and discussion, with the main purpose of improving. My general requirements are as follows: Developing a complex enterprise multi-user management information system (MIS) does not involve the development of functions such as
Qlikview Data Modeling --- Concatenation, qlikviewThis Blog introduces how to avoid loops and synthetic keys through Concatenation (Concatenation) fact tables:The Modeling in Qlikview is usually very simple. Generally, we only need to rename the names of some sub-segments to prevent or establish automatic association between tables.But sometimes we can't solve th
This Blog introduces how to avoid loops and synthetic keys through Concatenation (Concatenation) fact tables:The modeling in Qlikview is usually very simple. Generally, we only need to rename the names of some sub-segments to prevent or establish automatic association between tables.But sometimes we can't solve the problem by simply renaming it. For example, we have multiple fact tables and multiple associations with other tables, which usually pr
Tags: des c a file data usageToday, we are prepared to further refine the functionality and make it more automated, based on the gadget model_sql written @zhangkai05. Convenient for modeling personnel to develop ETL tasks.After the source code changes, it is published to Git (URL address) and is gradually perfected.Describe the status quo and problemsTeam Data Wa
Ho, August See a colleague on the desktop there is a Data Warehouse Toolbox Third edition, this blog simply discusses the Data Warehouse modeling general process and modeling methods (mainly practical experience and network data integration) First describe the application
The methods for modeling SQL Server four data warehouses are mainly grouped into the following four categories. The first class is the three-paradigm modeling of relational databases, and we usually use the three-normal modeling method to build various operational database systems. The second type is the three-paradi
"Stove-refining AI" machine learning 045-Modeling of stock data by hidden Markov model(Python libraries and version numbers used in this article: Python 3.6, Numpy 1.14, Scikit-learn 0.19, matplotlib 2.2)Stock data is very very typical timing data, the data are arranged by d
data in spark. The data in the Primitivevector is taken out and transformed into a edgepartition, that is, Edgerdd partition implementation. In this process, a column-oriented structure is generated: The Array,edge attribute array for the array,dst point of the SRC point, and two forward and backward maps (local ID and global ID for the corresponding point). Do a count on Edgerdd to trigger this si
Brief introduction The business environment is changing rapidly, and so is the type of business data. A successful Data warehouse solution is based on flexible design that adapts to changing business data. The architecture of data Warehouse and the modeling of warehouse
Geographic Information System (GIS) can process high-resolution and massive spatial data and is a powerful tool for spatial epidemiological research. In order to enable Chinese researchers to master the basic operations and applications of GIS, the education center of the Institute of Computing Technology of the Chinese Emy of Sciences held a "advanced training course on GIS data processing and
the MySQL Workbench modeling and development of dataBasic informationOriginal title: MySQL workbench:data Modeling DevelopmentOriginal publishing house: Mcgraw-hill Osborne Media(Mei) McLaughlin (McLaughlin, M.)Translator: Zhang June WenPublishing house: Tsinghua University Pressisbn:9787302363712Last Date: 2014-6-5Publication date: June 2014Folio: 16 OpenPage: 368Edition: 1-1Category: Computers > Database
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