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عنوان
Practical DMX queries for Microsoft SQL Server Analysis Services 2008 /

پدید آورنده
Art Tennick.

موضوع
SQL server.,SQL server.,SQL server.,Data mining.,Querying (Computer science),COMPUTERS / Certification Guides / General.,Data mining.,Querying (Computer science)

رده
QA76
.
9
.
D343
T365
2011

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
0071748679
(Number (ISBN
9780071748674
Erroneous ISBN
0071748660
Erroneous ISBN
9780071748667

NATIONAL BIBLIOGRAPHY NUMBER

Number
b746872

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Practical DMX queries for Microsoft SQL Server Analysis Services 2008 /
General Material Designation
[Book]
First Statement of Responsibility
Art Tennick.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
New York, NY :
Name of Publisher, Distributor, etc.
McGraw-Hill,
Date of Publication, Distribution, etc.
2010.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (xxvi, 308 pages) :
Other Physical Details
illustrations

CONTENTS NOTE

Text of Note
Cases queries -- Content queries -- Prediction queries with decision trees -- Prediction queries with time series -- Prediction and cluster queries with clustering -- Prediction queries with association and sequence clustering -- Data definition language (DDL) queries -- Schema and column queries -- After you finish.
0

SUMMARY OR ABSTRACT

Text of Note
"250+ Ready-to-Use, Powerful DMX QueriesTransform data mining model information into actionable business intelligence using the Data Mining Extensions (DMX) language. Practical DMX Queries for Microsoft SQL Server Analysis Services 2008 contains more than 250 downloadable DMX queries you can use to extract and visualize data. The application, syntax, and results of each query are described in detail. The book emphasizes DMX for use in SSMS against SSAS, but the queries also apply to SSRS, SSIS, DMX in SQL, WinForms, WebForms, and many other applications. Techniques for generating DMX syntax from graphical tools are also demonstrated in this valuable resource. View cases within data mining structures and models using DMX Case queries. Examine the content of a data mining model with DMX Content queries. Perform DMX Prediction queries based on the Decision Trees algorithm and the Time Series algorithm. Run Prediction and Cluster queries based on the Clustering algorithm. Execute Prediction queries with Association and Sequence Clustering algorithms. Use DMX DDL queries to create, alter, drop, back up, and restore data mining objects. Display various parameters for each algorithm with Schema queries. Examine the values of discrete, discretized, and continuous structure columns using Column queries. Use graphical interfaces to generate Prediction, Content, Cluster, and DDL queries. Deliver DMX query results to end users. Download the source code from www.mhprofessional.com/computingdownload"--
Text of Note
"Transform data mining model information into actionable business intelligence using the Data Mining Extensions (DMX) language. Practical DMX Queries for Microsoftʼ SQL Serverʼ Analysis Services 2008 contains more than 250 downloadable DMX queries you can use to extract and visualize data. The application, syntax, and results of each query are described in detail. The book emphasizes DMX for use in SSMS against SSAS, but the queries also apply to SSRS, SSIS, DMX in SQL, WinForms, WebForms, and many other applications. Techniques for generating DMX syntax from graphical tools are also demonstrated in this valuable resource"--

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
Safari Books Online
Stock Number
CL0500000115

OTHER EDITION IN ANOTHER MEDIUM

Title
Practical DMX queries for Microsoft SQL Server Analysis Services 2008.
International Standard Book Number
9780071748667

PARALLEL TITLE PROPER

Parallel Title
Practical Data Mining Extensions queries for Microsoft SQL Server Analysis Services
Parallel Title
Practical Data Mining Extensions queries for SQL Server Analysis Services
Parallel Title
Practical DMX queries for SQL Server Analysis Services 2008

TITLE USED AS SUBJECT

SQL server.
SQL server.
SQL server.

TOPICAL NAME USED AS SUBJECT

Data mining.
Querying (Computer science)
COMPUTERS / Certification Guides / General.
Data mining.
Querying (Computer science)

DEWEY DECIMAL CLASSIFICATION

Number
005
.
7585
Edition
22

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA76
.
9
.
D343
Book number
T365
2011

OTHER CLASS NUMBERS

Class number
COM055000
System Code
bisacsh

PERSONAL NAME - PRIMARY RESPONSIBILITY

Tennick, Art.

ORIGINATING SOURCE

Date of Transaction
20201204070112.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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