data modeling books

Discover data modeling books, include the articles, news, trends, analysis and practical advice about data modeling books on

Data Modeling and Business Modeling

Whether it is an enterprise information system or a Web site, various sizesProgramThe original functions are data operations. It can be seen that a group's various requirements for some data have created one program after another, or software systems. Looking back, we started to deal with data from the very beginning. What should we do first when a new project

Discussion on data modeling methods in data warehouse construction

Discussion on data modeling methods in data warehouse construction The main content of this article is not to introduce some data models of the existing popular main industries, but to share some of my experiences in

Discussion on data modeling methods in data warehouse construction

industry, so there will be different companies targeting a specific industry model. For different industries, the same company also has different models, depending on the different business characteristics of different industries. For example, the tdwm model of IBM contains the following nine concepts: Figure 1. tdwm conceptual model of IBM Many may ask why your model has nine concepts, not ten, and 11? What is the basis of your data warehouse model

Data Modeling Learning Note-"High quality Database Modeling 1-significance"

Https:// Database modeling 1-significance1. The concept and significance of the data modeldikw--(data) information (information) knowledge (knowledge) wisdom (Wisdom), I understand that information is obtained through data, knowledge is gained through information, and wisdom is gene

Building the Data Warehouse No. 08: Logical Modeling –5– Dimension modeling Core Conformance Dimension 2

business dimension information for integrated integration, this situation is more appropriate for generating surrogate keys to master keys. Summary The construction of the dimension table seems relatively simple, in most cases the business library will be directly, but in addition to the different levels of the dimension of Redundancy (Star model), but also need to grasp the details of the following dimensions of the construction of attention, after all, the dimension of errors will

Discussion on the dimension modeling of Data Warehouse __ Data Warehouse

following order: First, compare the classic and common data Warehouse model, and analyze its advantages and disadvantages. The basic concepts and related theories of dimension modeling are introduced in detail. To get a better understanding of what dimension modeling is, I'm going to simulate an electric arcade that we all know well, and use the theory we've tal

"Data Modeling" reading notes

Notes | data The recent bookstore has found a good book for data Modeling-data modeling: tools and techniques for analyzing and designing (Workbench:tools and techniques for analytics and design), by Steve Hoberman. After rough, it feels like the book is truly worthy of the

Big Data Architect must-read NoSQL modeling technology

of columns, and a cell can store an indefinite number of data versions. The document database is inherently out of schema, although some document databases allow validation using user-defined schemas when data is entered. The loose schema allows the use of complex internal structures (nested entities) to construct the classes of entities, and also allows the structure of specific entities to be changed. Th

Data Modeling Reading Notes

book. This may also mean proposing your own workbooks or other tools.9) Simple Theory is too expensive: Make sure you keep this idea in mind during design activities. Departments and organizations paying for this application expect to see tangible practical results.10) become an amazing storyteller: as a data modeler, storytelling is a very important part of the work. To help group education and influence project managers and others who lack understa

MongoDB Data Storage Modeling

MongoDB Common Data Modeling method: 1) Document relationship modeling, 2) tree structure modeling Model:|--1, document relationship modeling| |--1) Embedded document model| |--2) Embedded document model|--2, tree structure modeling

Parse the Data Modeling Method in AngularJS framework, angularjs framework

. BookController that uses Book model app.controller('BookController', ['$scope', 'Book', function($scope, Book) { $ = new Book(); $;}]); As you can see, the Controller becomes very simple. It creates a Book instance, assigns it to the scope, and loads it from the background. When a book is loaded successfully, its attributes are changed and the template is updated as well. Remember that if other controllers want to use the Book function, simply inject the Book Serv

How to deal with data modeling in ANGULARJS framework _angularjs

book service in the Bookcontroller. Bookcontroller that uses book model App.controller (' Bookcontroller ', [' $scope ', ' book ', Function ($scope, book) { $scope. Book = new book (); $scope. Book.load (1); }]); As you can see, the controller becomes very simple. It creates a book instance, assigns it to scope, and loads it from the background. When a book is loaded successfully, its properties are changed and the template is updated. Keep in mind that other controllers want

Data analysis and modeling _ Data analysis

Copyright Description: Content from the internet and books Principal component Analysis PCA1. Basic Ideas Principal component Analysis (PCA) is a kind of reduced-dimension method for continuous variables, which can maximize the interpretation of data variation, reduce data from high dimension to low dimension, and ensure orthogonal between each dimension. The sp

Data Modeling for Data Warehouses

operation, such as sending an email. It is used to analyze data and discover new values from existing data. It is mainly used to predict future situations. A data warehouse is not a general structure for solving all problems. It must be concentrated in a certain problem area, such as aviation services and customer benefits. The

On the experience of innovative application data modeling

The author from 98 into the field of database and data warehousing has been nearly eight years of time, the data modeling work contact more, innovative dare not talk about, this article will be working experience summed up for everyone to discuss and correct. To bring up data mode

MongoDB Data Relationship Modeling

) {_ID: "Joe",Name: "Joe Bookreader",Addresses: [{Street: "123 Fake Street",City: "Faketon",State: "MA",Zip: "12345"},{Street: "1 Some other Street",City: "Boston",State: "MA",Zip: "12345"}]} (iii) One -to-many-reference document model (References) Book publishers and Books is a one-to-many relationship, a publication can be the first edition of many books, a book can only be issued by

Data integration using Process modeling

For information technology applications such as data integration, process modeling is a method that has been tried and proved feasible. The problem of virtualization and standardization is also covered by modeling technologies for data integration application processes. First, let's look at the types of process

Quick introduction to common terms for Data Warehousing and Data Modeling

The data warehouse introduces new terms and extends the Glossary for data modeling. To make the description of this article complete, I will introduce the most common terms below. ◆ Data Warehouse A data warehouse is a collection of data

SQL2005 data modeling with XML data types

XML columns in the table, whether they are stored in rows or stored in rows, and occupy space. Granularity of XML data The granularity of XML data stored in an XML column is critical for locking and updating attributes. SQL Server uses the same locking mechanism for XML and non-XML data. Therefore, row-level locking causes all XML instances in the correspondin

NoSQL Data Modeling Technology

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

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