Data Warehousing

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Building the Data Warehouse

W. H. Inmon
Building the Data Warehouse Book PDF

Author : W. H. Inmon
Publisher : John Wiley & Sons
Page : 434 pages
File Size : 45,6 Mb
Release : 2002-10-01
Category : Computers
ISBN : 9780471270485

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Building the Data Warehouse by W. H. Inmon Pdf

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.

Data Warehousing and Analytics

David Taniar,Wenny Rahayu
Data Warehousing and Analytics Book PDF

Author : David Taniar,Wenny Rahayu
Publisher : Springer Nature
Page : 642 pages
File Size : 48,5 Mb
Release : 2022-02-04
Category : Computers
ISBN : 9783030819798

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Data Warehousing and Analytics by David Taniar,Wenny Rahayu Pdf

This textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, to data warehouses and data analytics; as well as the role that data warehousing plays in the data processing lifecycle. It also explains in detail how data warehouses may be used by data engines, such as BI tools and analytics algorithms to produce reports, dashboards, patterns, and other useful information and knowledge. The book is divided into six parts, ranging from the basics of data warehouse design (Part I - Star Schema, Part II - Snowflake and Bridge Tables, Part III - Advanced Dimensions, and Part IV - Multi-Fact and Multi-Input), to more advanced data warehousing concepts (Part V - Data Warehousing and Evolution) and data analytics (Part VI - OLAP, BI, and Analytics). This textbook approaches data warehousing from the case study angle. Each chapter presents one or more case studies to thoroughly explain the concepts and has different levels of difficulty, hence learning is incremental. In addition, every chapter has also a section on further readings which give pointers and references to research papers related to the chapter. All these features make the book ideally suited for either introductory courses on data warehousing and data analytics, or even for self-studies by professionals. The book is accompanied by a web page that includes all the used datasets and codes as well as slides and solutions to exercises.

The Data Warehouse Toolkit

Ralph Kimball,Margy Ross
The Data Warehouse Toolkit Book PDF

Author : Ralph Kimball,Margy Ross
Publisher : John Wiley & Sons
Page : 464 pages
File Size : 42,6 Mb
Release : 2011-08-08
Category : Computers
ISBN : 9781118082140

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The Data Warehouse Toolkit by Ralph Kimball,Margy Ross Pdf

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 Fundamentals

Paulraj Ponniah
Data Warehousing Fundamentals Book PDF

Author : Paulraj Ponniah
Publisher : John Wiley & Sons
Page : 544 pages
File Size : 55,6 Mb
Release : 2004-04-07
Category : Computers
ISBN : 9780471463894

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Data Warehousing Fundamentals by Paulraj Ponniah Pdf

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.

The Data Warehouse Toolkit

Ralph Kimball,Margy Ross
The Data Warehouse Toolkit Book PDF

Author : Ralph Kimball,Margy Ross
Publisher : John Wiley & Sons
Page : 600 pages
File Size : 52,5 Mb
Release : 2013-07-01
Category : Computers
ISBN : 9781118732281

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The Data Warehouse Toolkit by Ralph Kimball,Margy Ross Pdf

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.

Data Warehousing

Mark Humphries,Michael W. Hawkins,Michelle C. Dy
Data Warehousing Book PDF

Author : Mark Humphries,Michael W. Hawkins,Michelle C. Dy
Publisher : Prentice Hall Professional
Page : 384 pages
File Size : 55,6 Mb
Release : 1999
Category : Computers
ISBN : 0130809020

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Data Warehousing by Mark Humphries,Michael W. Hawkins,Michelle C. Dy Pdf

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Data Warehousing and Data Mining Techniques for Cyber Security

Anoop Singhal
Data Warehousing and Data Mining Techniques for Cyber Security Book PDF

Author : Anoop Singhal
Publisher : Springer Science & Business Media
Page : 166 pages
File Size : 54,6 Mb
Release : 2007-04-06
Category : Computers
ISBN : 9780387476537

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Data Warehousing and Data Mining Techniques for Cyber Security by Anoop Singhal Pdf

The application of data warehousing and data mining techniques to computer security is an important emerging area, as information processing and internet accessibility costs decline and more and more organizations become vulnerable to cyber attacks. These security breaches include attacks on single computers, computer networks, wireless networks, databases, or authentication compromises. This book describes data warehousing and data mining techniques that can be used to detect attacks. It is designed to be a useful handbook for practitioners and researchers in industry, and is also suitable as a text for advanced-level students in computer science.

Data Mining and Data Warehousing

Parteek Bhatia
Data Mining and Data Warehousing Book PDF

Author : Parteek Bhatia
Publisher : Cambridge University Press
Page : 513 pages
File Size : 45,8 Mb
Release : 2019-06-27
Category : Computers
ISBN : 9781108727747

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Data Mining and Data Warehousing by Parteek Bhatia Pdf

Provides a comprehensive textbook covering theory and practical examples for a course on data mining and data warehousing.

Data Warehousing

Paul Westerman
Data Warehousing Book PDF

Author : Paul Westerman
Publisher : Morgan Kaufmann
Page : 316 pages
File Size : 46,8 Mb
Release : 2001
Category : Computers
ISBN : 155860684X

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Data Warehousing by Paul Westerman Pdf

What is data warehousing? -- Project planning -- Business exploration -- Business case study and ROI analysis -- Organizational integration -- Technology -- Database maintenance -- Technical construction of the Wal-Mart data warehouse -- Postimplementation of the Wal-Mart data warehouse -- Store operations sample analyses -- Merchandising sample analyses.

Emerging Perspectives in Big Data Warehousing

Taniar, David,Rahayu, Wenny
Emerging Perspectives in Big Data Warehousing Book PDF

Author : Taniar, David,Rahayu, Wenny
Publisher : IGI Global
Page : 348 pages
File Size : 44,9 Mb
Release : 2019-06-28
Category : Computers
ISBN : 9781522555179

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Emerging Perspectives in Big Data Warehousing by Taniar, David,Rahayu, Wenny Pdf

The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are geometries that change their position and shape continuously over time. In order to support spatio-temporal data, a data model and associated query language is needed for supporting moving objects. Emerging Perspectives in Big Data Warehousing is an essential research publication that explores current innovative activities focusing on the integration between data warehousing and data mining with an emphasis on the applicability to real-world problems. Featuring a wide range of topics such as index structures, ontology, and user behavior, this book is ideally designed for IT consultants, researchers, professionals, computer scientists, academicians, and managers.

Data Warehousing

Anonim
Data Warehousing Book PDF

Author : Anonim
Publisher : Springer Science & Business Media
Page : 340 pages
File Size : 40,6 Mb
Release : 2001-04-27
Category : Technology & Engineering
ISBN : 352805753X

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Data Warehousing by Anonim Pdf

Rapid access to information is a prime requirement in any organization that wants to have a competitive edge in today's fast changing markets. How to retrieve information? How to capture data? How to format it? The answer lies in Data Warehousing. This HOTT Guide will give you access to all the essential information about the newest data storehouse: through articles by expert trendwachters on strategic considerations, how-to reports defining the various ways to extract the data needed for critical business decisions, technical papers clarifying technologies and tools, business cases and key concepts that will provide the reader with a comprehensive overview of a business solution that is already indispensable.

Agile Data Warehouse Design

Lawrence Corr,Jim Stagnitto
Agile Data Warehouse Design Book PDF

Author : Lawrence Corr,Jim Stagnitto
Publisher : DecisionOne Consulting
Page : 330 pages
File Size : 44,5 Mb
Release : 2011-11
Category : Business & Economics
ISBN : 9780956817204

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Agile Data Warehouse Design by Lawrence Corr,Jim Stagnitto Pdf

Agile Data Warehouse Design is a step-by-step guide for capturing data warehousing/business intelligence (DW/BI) requirements and turning them into high performance dimensional models in the most direct way: by modelstorming (data modeling + brainstorming) with BI stakeholders. This book describes BEAM✲, an agile approach to dimensional modeling, for improving communication between data warehouse designers, BI stakeholders and the whole DW/BI development team. BEAM✲ provides tools and techniques that will encourage DW/BI designers and developers to move away from their keyboards and entity relationship based tools and model interactively with their colleagues. The result is everyone thinks dimensionally from the outset! Developers understand how to efficiently implement dimensional modeling solutions. Business stakeholders feel ownership of the data warehouse they have created, and can already imagine how they will use it to answer their business questions. Within this book, you will learn: ✲ Agile dimensional modeling using Business Event Analysis & Modeling (BEAM✲) ✲ Modelstorming: data modeling that is quicker, more inclusive, more productive, and frankly more fun! ✲ Telling dimensional data stories using the 7Ws (who, what, when, where, how many, why and how) ✲ Modeling by example not abstraction; using data story themes, not crow's feet, to describe detail ✲ Storyboarding the data warehouse to discover conformed dimensions and plan iterative development ✲ Visual modeling: sketching timelines, charts and grids to model complex process measurement - simply ✲ Agile design documentation: enhancing star schemas with BEAM✲ dimensional shorthand notation ✲ Solving difficult DW/BI performance and usability problems with proven dimensional design patterns Lawrence Corr is a data warehouse designer and educator. As Principal of DecisionOne Consulting, he helps clients to review and simplify their data warehouse designs, and advises vendors on visual data modeling techniques. He regularly teaches agile dimensional modeling courses worldwide and has taught dimensional DW/BI skills to thousands of students. Jim Stagnitto is a data warehouse and master data management architect specializing in the healthcare, financial services, and information service industries. He is the founder of the data warehousing and data mining consulting firm Llumino.

Oracle DBA Guide to Data Warehousing and Star Schemas

Bert Scalzo
Oracle DBA Guide to Data Warehousing and Star Schemas Book PDF

Author : Bert Scalzo
Publisher : Prentice Hall Professional
Page : 236 pages
File Size : 44,9 Mb
Release : 2003
Category : Computers
ISBN : 0130325848

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Oracle DBA Guide to Data Warehousing and Star Schemas by Bert Scalzo Pdf

The ultimate reference guide to successful implementation of star schemas within Oracle data warehouses, this edition also covers Oracle 8i and Oracle 9i with real-world examples, sample code and benchmarks to illustrate key concepts.

Fundamentals of Data Warehouses

Matthias Jarke,Maurizio Lenzerini,Yannis Vassiliou,Panos Vassiliadis
Fundamentals of Data Warehouses Book PDF

Author : Matthias Jarke,Maurizio Lenzerini,Yannis Vassiliou,Panos Vassiliadis
Publisher : Springer Science & Business Media
Page : 328 pages
File Size : 48,8 Mb
Release : 2002-11-26
Category : Computers
ISBN : 3540420894

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Fundamentals of Data Warehouses by Matthias Jarke,Maurizio Lenzerini,Yannis Vassiliou,Panos Vassiliadis Pdf

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 in the Age of Big Data

Krish Krishnan
Data Warehousing in the Age of Big Data Book PDF

Author : Krish Krishnan
Publisher : Newnes
Page : 370 pages
File Size : 41,5 Mb
Release : 2013-05-02
Category : Computers
ISBN : 9780124059207

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Data Warehousing in the Age of Big Data by Krish Krishnan Pdf

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