nosql data modeling

I. Demand modeling, simulation of bank ATM user withdrawals instances. 1. New project selection Model View category 2. Change model to ATM (project name). 3. Change requirements to ' demand modeling ', analysis view changed to ' domain model ', use case view changed to ' usage model ', change logical View to ' logical model '. 4. In the requirements modeling

SQL ServerCategory 4Data warehouse modelingMethods are mainly divided into the following four types. The first type is the three-paradigm modeling of relational databases. We usually use the three-paradigm modeling method to build various types of operational database systems. The second category is the three-paradigm data warehouse

Vtkrotationalextrusionfilter is a modeling filter. It uses polygon data as the input and generates the output polygon data. The input dataset is scanned around the Z axis to create a polygon primitive. These elements form a "skirt" or a swept surface. For example, a line is scanned as the input data, and a circle aroun

table, usually according to the user to the table, will be the same user all the data are placed on the same machine, but if we create time to query, want to query all the users in the journal published today, then this will be invalidated. At this point you need to go to each of the sub-table query and then the query results are assembled. And the native SQL is not complete. When an index is unavailable, the aggregation operation is certainly not al

people. For example: a part of a process requires the financial controller for approval, the future financial controller substitution, the process should not be affected. Also, a link in the process may be approved by any one of the departments, or all of the department's personnel will be required to approve it. 2 in the process of transfer, approval of documents generally divided into documents and forms 2 kinds of formats. File format documents should support batch processing, that is, you c

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

Tags: MongoDB database nosql Data ModelingThe data in MongoDB is very flexible, and the collection does not force the document to adopt a uniform structure. But it is still important to consider the data model seriously, as it affects the performance of the application and the ability of the database. This article desc

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

Directory Objective Principle Content Summary Preface The previous article described the business Modeling and domain concept modeling in the Data warehouse model design, and then came naturally to the phase of the logical Data Modeling