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DW 2 0 The Architecture for the Next Generation of Data Warehousing

DW 2 0  The Architecture for the Next Generation of Data Warehousing Author W.H. Inmon
ISBN-10 008055833X
Release 2010-07-28
Pages 400
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DW 2.0: The Architecture for the Next Generation of Data Warehousing is the first book on the new generation of data warehouse architecture, DW 2.0, by the father of the data warehouse. The book describes the future of data warehousing that is technologically possible today, at both an architectural level and technology level. The perspective of the book is from the top down: looking at the overall architecture and then delving into the issues underlying the components. This allows people who are building or using a data warehouse to see what lies ahead and determine what new technology to buy, how to plan extensions to the data warehouse, what can be salvaged from the current system, and how to justify the expense at the most practical level. This book gives experienced data warehouse professionals everything they need in order to implement the new generation DW 2.0. It is designed for professionals in the IT organization, including data architects, DBAs, systems design and development professionals, as well as data warehouse and knowledge management professionals. * First book on the new generation of data warehouse architecture, DW 2.0. * Written by the "father of the data warehouse", Bill Inmon, a columnist and newsletter editor of The Bill Inmon Channel on the Business Intelligence Network. * Long overdue comprehensive coverage of the implementation of technology and tools that enable the new generation of the DW: metadata, temporal data, ETL, unstructured data, and data quality control.



Survey on Intelligent Data Repository Using Soft Computing

Survey on Intelligent Data Repository Using Soft Computing Author A. Prema
ISBN-10
Release
Pages 20
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Data warehouse is one of the components of the overall business intelligence system. An enterprise has one data warehouse, and data marts source has their information from the data warehouse. The Data warehouse is a corporation of all data marts within the enterprise. Information is always accumulated in the dimensional model. In this paper, an intelligent data repository with soft computing is presented. It covers similarity metrics that are commonly used to improve the efficiency of data storages. It also covers multiple decision making methodologies to improve the efficiency of decision making.



Service Research and Innovation

Service Research and Innovation Author Amin Beheshti
ISBN-10 9783319765877
Release 2018-03-02
Pages 231
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This book constitutes revised selected papers from the Australasian Symposium on Service Research and Innovation, ASSRI, held in Sydney Australia.The 11 full papers presented from ASSRI 2017, which took place during October 19-20, 2017, were carefully reviewed and selected from 26 submissions. The volume also contains 3 papers from ASSRI 2015, which took place during November 2-3, 2015, and one invited paper on the software development processes.The papers were organized in topical sections named: invited talk; modelling; design; quality; social, and application.



Data Virtualization for Business Intelligence Systems

Data Virtualization for Business Intelligence Systems Author Rick van der Lans
ISBN-10 9780123978172
Release 2012-07-25
Pages 296
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Data virtualization can help you accomplish your goals with more flexibility and agility. Learn what it is and how and why it should be used with Data Virtualization for Business Intelligence Systems. In this book, expert author Rick van der Lans explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects. You’ll learn the difference is between this new form of data integration and older forms, such as ETL and replication, and gain a clear understanding of how data virtualization really works. Data Virtualization for Business Intelligence Systems outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be applied in data warehouse environments. You’ll come away with a comprehensive understanding of how data virtualization will make data warehouse environments more flexible and how it make developing operational BI applications easier. Van der Lans also describes the relationship between data virtualization and related topics, such as master data management, governance, and information management, so you come away with a big-picture understanding as well as all the practical know-how you need to virtualize your data. First independent book on data virtualization that explains in a product-independent way how data virtualization technology works. Illustrates concepts using examples developed with commercially available products. Shows you how to solve common data integration challenges such as data quality, system interference, and overall performance by following practical guidelines on using data virtualization. Apply data virtualization right away with three chapters full of practical implementation guidance. Understand the big picture of data virtualization and its relationship with data governance and information management.



Decision Support Systems for Business Intelligence

Decision Support Systems for Business Intelligence Author Vicki L. Sauter
ISBN-10 9781118627235
Release 2014-08-21
Pages 453
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Praise for the First Edition "This is the most usable decision support systems text. [i]t is far better than any other text in the field" —Computing Reviews Computer-based systems known as decision support systems (DSS) play a vital role in helping professionals across various fields of practice understand what information is needed, when it is needed, and in what form in order to make smart and valuable business decisions. Providing a unique combination of theory, applications, and technology, Decision Support Systems for Business Intelligence, Second Edition supplies readers with the hands-on approach that is needed to understand the implications of theory to DSS design as well as the skills needed to construct a DSS. This new edition reflects numerous advances in the field as well as the latest related technological developments. By addressing all topics on three levels—general theory, implications for DSS design, and code development—the author presents an integrated analysis of what every DSS designer needs to know. This Second Edition features: Expanded coverage of data mining with new examples Newly added discussion of business intelligence and transnational corporations Discussion of the increased capabilities of databases and the significant growth of user interfaces and models Emphasis on analytics to encourage DSS builders to utilize sufficient modeling support in their systems A thoroughly updated section on data warehousing including architecture, data adjustment, and data scrubbing Explanations and implications of DSS differences across cultures and the challenges associated with transnational systems Each chapter discusses various aspects of DSS that exist in real-world applications, and one main example of a DSS to facilitate car purchases is used throughout the entire book. Screenshots from JavaScript® and Adobe® ColdFusion are presented to demonstrate the use of popular software packages that carry out the discussed techniques, and a related Web site houses all of the book's figures along with demo versions of decision support packages, additional examples, and links to developments in the field. Decision Support Systems for Business Intelligence, Second Edition is an excellent book for courses on information systems, decision support systems, and data mining at the advanced undergraduate and graduate levels. It also serves as a practical reference for professionals working in the fields of business, statistics, engineering, and computer technology.



Data Warehousing in the Age of Big Data

Data Warehousing in the Age of Big Data Author Krish Krishnan
ISBN-10 9780124059207
Release 2013-05-02
Pages 370
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Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data–ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory. Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse. Learn how to leverage Big Data by effectively integrating it into your data warehouse. Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies Understand how to optimize and tune your current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements



Java Data Mining Strategy Standard and Practice

Java Data Mining  Strategy  Standard  and Practice Author Mark F. Hornick
ISBN-10 0080495915
Release 2010-07-26
Pages 544
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Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component. This book is the essential guide to the usage of the JDM standard interface, written by contributors to the JDM standard. Data mining introduction - an overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems JDM essentials - concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects JDM in practice - the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API Free, downloadable KJDM source code referenced in the book available here



Business Intelligence Strategy and Big Data Analytics

Business Intelligence Strategy and Big Data Analytics Author Steve Williams
ISBN-10 9780128094891
Release 2016-04-08
Pages 240
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Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like “big data” and “big data analytics” have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. Provides ideas for improving the business performance of one’s company or business functions Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans



Journal of Object oriented Programming

Journal of Object oriented Programming Author
ISBN-10 UOM:39015048218807
Release 1999
Pages
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Journal of Object oriented Programming has been writing in one form or another for most of life. You can find so many inspiration from Journal of Object oriented Programming also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Journal of Object oriented Programming book for free.



Data Management and Modelling Using Remote Sensing and GIS for Tropical Forest Land Inventory

Data Management and Modelling Using Remote Sensing and GIS for Tropical Forest Land Inventory Author Yves Laumonier
ISBN-10 9799569605
Release 1999
Pages 581
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Data Management and Modelling Using Remote Sensing and GIS for Tropical Forest Land Inventory has been writing in one form or another for most of life. You can find so many inspiration from Data Management and Modelling Using Remote Sensing and GIS for Tropical Forest Land Inventory also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Data Management and Modelling Using Remote Sensing and GIS for Tropical Forest Land Inventory book for free.



XML Data Warehousing

XML Data Warehousing Author Nuwee Wiwatwattana
ISBN-10 UOM:39015070902369
Release 2008-06-17
Pages 136
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Data warehousing is an important application of database technology. Even though XML is ubiquitous and there are many XML databases, there are almost no XML data warehouses today. When the information to be represented naturally has multiple dimensions, as in data warehouses, fundamental tensions appear in the modeling and schema design. This book propose an evolutionary extension of the XML data model into a multi-dimensional model, called the Multi-Colored Trees (MCT) logical data model. MCT permits trees with multi-colored nodes to signify participation in multiple dimensions. Algorithms are developed to transform design specifications given as ER diagrams into MCT schemas. Bitmap join indices are extended to the XML context. This book demonstrates experimentally the benefit for typical queries, including those with low cardinality or high selectivity. The book also considers the data cube, and shows that it cannot readily be expressed or evaluated for XML data. Specifically, XML data is not always summarizable because of missing and repeated sub-elements.



Wiley Encyclopedia of Electrical and Electronics Engineering

Wiley Encyclopedia of Electrical and Electronics Engineering Author John G. Webster
ISBN-10 0471139440
Release 1999
Pages 768
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This work defines the discipline and serves as the starting point and reference for any electrical and electronic engineering research project. It covers all aspects of the field in around 1300 referenced articles.



Data profiling and the access path model

Data profiling and the access path model Author Madhavi Gandhi
ISBN-10 UCAL:X70994
Release 2005
Pages 302
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Data profiling and the access path model has been writing in one form or another for most of life. You can find so many inspiration from Data profiling and the access path model also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Data profiling and the access path model book for free.



Consultants and Consulting Organizations Directory

Consultants and Consulting Organizations Directory Author
ISBN-10 UCLA:L0074869223
Release 2008
Pages
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Indexes are arranged by geographic area, activities, personal name, and consulting firm name.



Wybrane problemy zastosowania electronic data interchange i electronic commerce

Wybrane problemy zastosowania electronic data interchange i electronic commerce Author Marian Niedzwiedzinski
ISBN-10 02086018
Release 2002
Pages
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Wybrane problemy zastosowania electronic data interchange i electronic commerce has been writing in one form or another for most of life. You can find so many inspiration from Wybrane problemy zastosowania electronic data interchange i electronic commerce also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Wybrane problemy zastosowania electronic data interchange i electronic commerce book for free.



Acta Universitatis Lodziensis

Acta Universitatis Lodziensis Author
ISBN-10 UOM:39015079834761
Release 2003
Pages
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Acta Universitatis Lodziensis has been writing in one form or another for most of life. You can find so many inspiration from Acta Universitatis Lodziensis also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Acta Universitatis Lodziensis book for free.



Books in Print

Books in Print Author
ISBN-10 STANFORD:36105022609999
Release 1997
Pages
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Books in Print has been writing in one form or another for most of life. You can find so many inspiration from Books in Print also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Books in Print book for free.