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Author: Alejandro Vaisman
Publisher: Springer
ISBN: 3642546552
Category : Computers
Languages : en
Pages : 639
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Book Description
With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including multi-dimensional models; conceptual and logical data warehouse design and MDX and SQL/OLAP. Subsequently, Part II details “Implementation and Deployment,” which includes physical data warehouse design; data extraction, transformation, and loading (ETL) and data analytics. Lastly, Part III covers “Advanced Topics” such as spatial data warehouses; trajectory data warehouses; semantic technologies in data warehouses and novel technologies like Map Reduce, column-store databases and in-memory databases. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Pentaho Business Analytics. All chapters are summarized using review questions and exercises to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available at http://cs.ulb.ac.be/DWSDIbook/, including electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style.
Author: Alejandro Vaisman
Publisher: Springer
ISBN: 3642546552
Category : Computers
Languages : en
Pages : 639
Get Book Here
Book Description
With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including multi-dimensional models; conceptual and logical data warehouse design and MDX and SQL/OLAP. Subsequently, Part II details “Implementation and Deployment,” which includes physical data warehouse design; data extraction, transformation, and loading (ETL) and data analytics. Lastly, Part III covers “Advanced Topics” such as spatial data warehouses; trajectory data warehouses; semantic technologies in data warehouses and novel technologies like Map Reduce, column-store databases and in-memory databases. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Pentaho Business Analytics. All chapters are summarized using review questions and exercises to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available at http://cs.ulb.ac.be/DWSDIbook/, including electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style.
Author: Rajiv Parida
Publisher: Firewall Media
ISBN: 9788170088516
Category :
Languages : en
Pages : 528
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Book Description
Author: Matteo Golfarelli
Publisher: McGraw Hill Professional
ISBN: 0071610405
Category : Computers
Languages : en
Pages : 481
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Book Description
Foreword by Mark Stephen LaRow, Vice President of Products, MicroStrategy "A unique and authoritative book that blends recent research developments with industry-level practices for researchers, students, and industry practitioners." Il-Yeol Song, Professor, College of Information Science and Technology, Drexel University
Author: Arshad Khan
Publisher: iUniverse
ISBN: 0595290698
Category : Computers
Languages : en
Pages : 136
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Book Description
Data Warehousing 101: Concepts and Implementation will appeal to those planning data warehouse projects, senior executives, project managers, and project implementation team members. It will also be useful to functional managers, business analysts, developers, power users, and end-users. Data Warehousing 101: Concepts and Implementation, which can be used as a textbook in an introductory data warehouse course, can also be used as a supplemental text in IT courses that cover the subject of data warehousing. Data Warehousing 101: Concepts and Implementation reviews the evolution of data warehousing and its growth drivers, process and architecture, data warehouse characteristics and design, data marts, multi-dimensionality, and OLAP. It also shows how to plan a data warehouse project as well as build and operate data warehouses. Data Warehousing 101: Concepts and Implementation also covers, in depth, common failure causes and mistakes and provides useful guidelines and tips for avoiding common mistakes.
Author: Peter R. Welbrock
Publisher:
ISBN: 9781580251518
Category : Data warehousing
Languages : en
Pages : 0
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Book Description
What is the key to a successful data warehouse? Strategy, design, implementation! This book skillfully provides a conceptual and working model of a successful data warehouse process that is developed by using SAS software. Written for both the business and technical sides of the house, Welbrock supplies real-life experience with data warehousing, not a theoretical approach. This book delivers the following three-phase strategy for building a data warehouse: 1) Build a conceptual data warehouse that contains metadata about the business elements that are documented in the conceptual warehouse into a technological lexicon. 3) Implement the physical data warehouse. Topics discussed that support the data warehousing process are data modeling, data transformation, multi-dimensional databases, data extraction and storage, warehouse loading, client/server, and SAS/Warehouse Administrator. The Strategy for designing your effective data warehouse is found in these pages!
Author: Bruce Russell Ullrey
Publisher: AuthorHouse
ISBN: 142599167X
Category : Data warehousing
Languages : en
Pages : 228
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Book Description
The purpose of this book is to document the methodology and chronology of work activity used by the author to successfully implement a Data Warehouse. Each of the eleven steps of the methodology is reviewed in the book, often using actual working documents as examples. The book contains lessons learned (both good and bad) as well as measures of success for each step. An essential aspect of DW project implementation (and other IT projects as well) is using established business practices to manage development and implementation. Discussion of use of these "due diligence" practices in Step 1 establishes the foundation for starting the DW project with the proper levels of management oversight. Step 2 presents examples of business models necessary for the DW developer to understand the needs of the business that the DW will serve. Other DW books describe the data modeling process but neglect to provide modeling instruction and actual examples to insure that the DW is properly aligned with business needs. An elegant data warehouse that doesn't meet the needs of the business is wasted effort. Step 3 documents and displays the level of detail needed to define CSF's (Critical Success Factors) and KPI's (Key Performance Indicators). If calculations for these important metrics are not defined in detail, and consensus to use them is not reached, then again, the most elegant data warehouse implementation is a wasted effort. In addition, developing and documenting functional requirements is essential in identifying legacy system reporting deficiencies. Step 4 describes how to access and display field level information on the iSeries platform. Actual shots of the resulting screens are shown. Step 5 presents the functional contents of an RFP for a Data Warehousing tool-set. Step 6 presents the progression of work required to build a data warehouse. Step 6 also: · Describes and displays a hybrid dimensional to flat file data model that may be, in reality, the best data organizational model for a typical data warehouse. Also, a table is included showing examples of data file field cryptic names and their corresponding metadata name. · &nb
Author: Mark Humphries
Publisher: Prentice Hall Professional
ISBN: 9780130809025
Category : Computers
Languages : en
Pages : 384
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Book Description
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Author: Parteek Bhatia
Publisher: Cambridge University Press
ISBN: 110858585X
Category : Computers
Languages : en
Pages :
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Book Description
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.
Author: Paulraj Ponniah
Publisher: John Wiley & Sons
ISBN: 0471463892
Category : Computers
Languages : en
Pages : 544
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Book Description
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.
Author: Dr. Sulbha Gath
Publisher: Academic Guru Publishing House
ISBN: 8197305021
Category : Study Aids
Languages : en
Pages : 212
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Book Description
"Principles of Data Warehousing" is an extensive and reputable book that explores the fundamental ideas, techniques, and industry best practices necessary for developing, overseeing, and refining data warehousing systems. This book is a must-have for anybody looking to learn more about data warehousing or improve their skills in the industry, since it is written by well-known specialists in the subject. The book commences by laying a robust groundwork through a comprehensive examination of the core principles and concepts of data warehousing. This enables readers to gain a clear knowledge of the objectives, advantages, and constituent elements of the system. Subsequently, the course delves into comprehensive subjects including data governance, analysis of dimensions, data modelling, ETL (Extract, Transform, Load) procedures, and data integration. Every chapter has been carefully designed to offer a combination of theoretical understanding and practical advice, thereby simplifying and rendering realistic intricate concepts. The text provides readers with practical exercises, examples that intersperse practical applications of the explored principles and facilitate experiential learning, thereby enhancing their comprehension. Furthermore, it addresses contemporary challenges including big data integration, cloud-based data warehousing, as well as real-time analytics, while "Principles of Data Warehousing" remains abreast of the most recent developments and trends in the region. The book empowers readers with the necessary knowledge and abilities to adeptly and confidently navigate the dynamic realm of data management by ensuring they remain updated on emergent technologies as well as methodologies. "Principles of Data Warehousing" is an essential resource for individuals embracing the art and science regarding data warehousing, including data architects, business analysts, database administrators, and those aspiring to become data professionals. This book equips readers with the ability to develop, execute, and enhance data warehousing solutions which generate value, understanding, and innovation for businesses of all sizes and in all sectors, through its extensive examination, pragmatic advice, and focus on fundamental principles.
