Learn IT - Books tags olap

Nearest Neighbor Search:: A Database Perspective (Series in Computer Science)

Springer, 2004

From the reviews of the first edition:

"This monograph explores the way spatial database management systems aim at supporting queries that involve the space characteristics of the underlying data, and discusses query processing techniques for nearest neighbor queries. It provides both basic concepts and state-of-the-art results in...

Managing Worldwide Operations and Communications With Information Technology

IGI Global, 2007

A data warehouse consists of a set of materialized views that contain derived data from several data sources. Materialized views are beneficial because they allow efficient retrieval of summary data. However, materialized views need to be refreshed periodically in order to avoid staleness. During a materialized view refresh only changes to the base...

Inside Microsoft SQL Server 2005: T-SQL Programming (Pro-Developer)

Microsoft Press, 2006

This thorough, hands-on reference for database developers and administrators delivers expert guidance on sophisticated uses of Transact-SQL (T-SQL)—one of the most familiar and powerful programming languages for SQL Server. Written by a T-SQL guru, this guide focuses on language features and how they are interpreted and processed by the...

Joe Celko's Analytics and OLAP in SQL (The Morgan Kaufmann Series in Data Management Systems)

Morgan Kaufmann, 2006

The First book that teaches what SQL programmers need in order to successfully make the transition from transactional systems (OLTP) into the world of OLAP.

Before SQL programmers could begin working with OLTP (On-Line Transaction Processing) systems, they had to unlearn procedural, record-oriented programming before moving...

SQL Server Developer's Guide to OLAP with Analysis Services

Sybex, 2001

The Skills You Need to Develop OLAP Solutions with SQL Server 2000

This one-of-a-kind book teaches you everything you need to know to use Microsoft's Analysis Services software to build, implement, and manage effective OLAP solutions. Expert advice and in-depth explanations combine to help you and your company take full...

Microsoft Data Mining: Integrated Business Intelligence for e-Commerce and Knowledge Management

Digital Press, 2001

Data mining exploits the knowledge that is held in the enterprise data store by examining the data to reveal patterns that suggest better ways to produce profit, savings, higher-quality products, and greater customer satisfaction. Just as the lines on our faces reveal a history of laughter and frowns, the patterns embedded in data reveal a history...

Fast Track to MDX

Springer, 2004

OLAP (On-Line Analytical Processing) is the most powerful business intelligence tool currently available and Microsoft's Analysis Manager makes OLAP cubes incredibly easy to build and deploy. However, the real power of OLAP lies in its ability to help you solve real-life business problems; to release that power you need to use the language that...

Sas R 9.1.3 OLAP Server: MDX Guide

SAS Institute, 2004

Multidimensional Expressions (MDX) is a powerful syntax that enables you to query multidimensional objects and provide commands that retrieve and manipulate multidimensional data from those objects. MDX is designed to ease the process of accessing data from multiple dimensions. It addresses the conceptual differences between two-dimensional and...

Professional SQL Server 2000 Data Warehousing with Analysis Services

Peer Information Inc, 2001

Data warehouses have evolved to cope with the huge volumes of data flowing through the workplace by separating the data used for reporting and decision making from the operational systems. The purpose of the data warehouse is simply to store the raw data, and in combination with Microsoft SQL Server 2000 Analysis Services, this data can be...

NumPy Cookbook

Packt Publishing, 2012

We, NumPy users, live in exciting times. New NumPy-related developments seem to come to our attention every week or maybe even daily. When this book was being written, NumPy Foundation of Open Code for Usable Science was created. The Numba project—NumPy-aware, dynamic Python compiler using LLVM—was announced. Also,...

Processing and Managing Complex Data for Decision Support

Idea Group Publishing, 2006

In many decision support fields the data that is exploited tends to be more and more complex. To take this phenomenon into account, classical architectures of data warehouses or data mining algorithms must be completely re-evaluated.

Processing and Managing Complex Data for Decision Support provides readers with an overview of the emerging...

Multidimensional Databases: Problems and Solutions

IGI Global, 2003

The term "multidimensional data" generally refers to data in which a given fact is quantified by a set of measures, obtained by applying one more or less complex aggregative function (from count or sum to average or percent, and so on) to raw data. Such measures are...

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