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Data Warehousing Fundamentals

Data Warehousing Fundamentals
Author: Paulraj Ponniah
Publisher: John Wiley & Sons
Total Pages: 544
Release: 2004-04-07
Genre: Computers
ISBN: 0471463892

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Geared to IT professionals eager to get into the all-importantfield of data warehousing, this book explores all topics needed bythose who design and implement data warehouses. Readers will learnabout planning requirements, architecture, infrastructure, datapreparation, information delivery, implementation, and maintenance.They'll also find a wealth of industry examples garnered from theauthor's 25 years of experience in designing and implementingdatabases and data warehouse applications for majorcorporations. Market: IT Professionals, Consultants.


Data Warehousing Fundamentals

Data Warehousing Fundamentals
Author: Paulraj Ponniah
Publisher: John Wiley & Sons
Total Pages: 548
Release: 2006-07
Genre:
ISBN: 9788126509195

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Market_Desc: · IT professionals· Undergraduate students specializing in information technology· Consultants Special Features: · Includes review questions and exercises· Filled with industry examples· The author has 25 years of experience in IT specializing in data warehousing About The Book: This book explores all topics needed by those who design and implement data warehouses. Readers will learn about planning requirements, architecture, infrastructure, data preparation, information delivery, implementation, and maintenance. This book covers the fundamentals of data warehousing specifically for the IT professionals who wants to get into the field.


Fundamentals of Data Warehouses

Fundamentals of Data Warehouses
Author: Matthias Jarke
Publisher: Springer Science & Business Media
Total Pages: 328
Release: 2002-11-26
Genre: Computers
ISBN: 9783540420897

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This book presents the first comparative review of the state of the art and the best current practices of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, metadata management, quality assessment, and design optimization. A conceptual framework is presented by which the architecture and quality of a data warehouse can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence.


Data Warehousing Fundamentals for IT Professionals

Data Warehousing Fundamentals for IT Professionals
Author: Paulraj Ponniah
Publisher: John Wiley & Sons
Total Pages: 600
Release: 2011-09-20
Genre: Computers
ISBN: 1118211308

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CUTTING-EDGE CONTENT AND GUIDANCE FROM A DATA WAREHOUSING EXPERT NOW EXPANDED TO REFLECT FIELD TRENDS Data warehousing has revolutionized the way businesses in a wide variety of industries perform analysis and make strategic decisions. Since the first edition of Data Warehousing Fundamentals, numerous enterprises have implemented data warehouse systems and reaped enormous benefits. Many more are in the process of doing so. Now, this new, revised edition covers the essential fundamentals of data warehousing and business intelligence as well as significant recent trends in the field. The author provides an enhanced, comprehensive overview of data warehousing together with in-depth explanations of critical issues in planning, design, deployment, and ongoing maintenance. IT professionals eager to get into the field will gain a clear understanding of techniques for data extraction from source systems, data cleansing, data transformations, data warehouse architecture and infrastructure, and the various methods for information delivery. This practical Second Edition highlights the areas of data warehousing and business intelligence where high-impact technological progress has been made. Discussions on developments include data marts, real-time information delivery, data visualization, requirements gathering methods, multi-tier architecture, OLAP applications, Web clickstream analysis, data warehouse appliances, and data mining techniques. The book also contains review questions and exercises for each chapter, appropriate for self-study or classroom work, industry examples of real-world situations, and several appendices with valuable information. Specifically written for professionals responsible for designing, implementing, or maintaining data warehousing systems, Data Warehousing Fundamentals presents agile, thorough, and systematic development principles for the IT professional and anyone working or researching in information management.


Building the Data Warehouse

Building the Data Warehouse
Author: W. H. Inmon
Publisher: John Wiley & Sons
Total Pages: 434
Release: 2002-10-01
Genre: Computers
ISBN: 0471270482

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The data warehousing bible updated for the new millennium Updated and expanded to reflect the many technological advances occurring since the previous edition, this latest edition of the data warehousing "bible" provides a comprehensive introduction to building data marts, operational data stores, the Corporate Information Factory, exploration warehouses, and Web-enabled warehouses. Written by the father of the data warehouse concept, the book also reviews the unique requirements for supporting e-business and explores various ways in which the traditional data warehouse can be integrated with new technologies to provide enhanced customer service, sales, and support-both online and offline-including near-line data storage techniques.


The Data Warehouse Toolkit

The Data Warehouse Toolkit
Author: Ralph Kimball
Publisher: John Wiley & Sons
Total Pages: 600
Release: 2013-07-01
Genre: Computers
ISBN: 1118732286

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Updated new edition of Ralph Kimball's groundbreaking book ondimensional modeling for data warehousing and businessintelligence! The first edition of Ralph Kimball's The Data WarehouseToolkit introduced the industry to dimensional modeling,and now his books are considered the most authoritative guides inthis space. This new third edition is a complete library of updateddimensional modeling techniques, the most comprehensive collectionever. It covers new and enhanced star schema dimensional modelingpatterns, adds two new chapters on ETL techniques, includes new andexpanded business matrices for 12 case studies, and more. Authored by Ralph Kimball and Margy Ross, known worldwide aseducators, consultants, and influential thought leaders in datawarehousing and business intelligence Begins with fundamental design recommendations and progressesthrough increasingly complex scenarios Presents unique modeling techniques for business applicationssuch as inventory management, procurement, invoicing, accounting,customer relationship management, big data analytics, and more Draws real-world case studies from a variety of industries,including retail sales, financial services, telecommunications,education, health care, insurance, e-commerce, and more Design dimensional databases that are easy to understand andprovide fast query response with The Data WarehouseToolkit: The Definitive Guide to Dimensional Modeling, 3rdEdition.


The Data Warehouse Toolkit

The Data Warehouse Toolkit
Author: Ralph Kimball
Publisher: John Wiley & Sons
Total Pages: 464
Release: 2011-08-08
Genre: Computers
ISBN: 1118082141

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This old edition was published in 2002. The current and final edition of this book is The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition which was published in 2013 under ISBN: 9781118530801. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.


Data Warehousing

Data Warehousing
Author: Mark Humphries
Publisher: Prentice Hall Professional
Total Pages: 384
Release: 1999
Genre: Computers
ISBN: 9780130809025

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Data Modeling Fundamentals

Data Modeling Fundamentals
Author: Paulraj Ponniah
Publisher: John Wiley & Sons
Total Pages: 460
Release: 2007-06-30
Genre: Computers
ISBN: 0470141018

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The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively. It begins with an overview of basic data modeling concepts, introduces the methods and techniques, provides a comprehensive case study to present the details of the data model components, covers the implementation of the data model with emphasis on quality components, and concludes with a presentation of a realistic approach to data modeling. It clearly describes how a generic data model is created to represent truly the enterprise information requirements.


Data Mining and Data Warehousing

Data Mining and Data Warehousing
Author: Parteek Bhatia
Publisher: Cambridge University Press
Total Pages:
Release: 2019-04-30
Genre: Computers
ISBN: 110858585X

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Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The textbook is written to cater to the needs of undergraduate students of computer science, engineering and information technology for a course on data mining and data warehousing. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models and NoSQL are discussed in detail. Pedagogical features including unsolved problems and multiple-choice questions are interspersed throughout the book for better understanding.