Search results for: the-data-warehouse-lifecycle-toolkit

The Data Warehouse Lifecycle Toolkit

Author : Ralph Kimball
File Size : 81.54 MB
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A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. In that time, the data warehouse industry has reached full maturity and acceptance, hardware and software have made staggering advances, and the techniques promoted in the premiere edition of this book have been adopted by nearly all data warehouse vendors and practitioners. In addition, the term "business intelligence" emerged to reflect the mission of the data warehouse: wrangling the data out of source systems, cleaning it, and delivering it to add value to the business. Ralph Kimball and his colleagues have refined the original set of Lifecycle methods and techniques based on their consulting and training experience. The authors understand first-hand that a data warehousing/business intelligence (DW/BI) system needs to change as fast as its surrounding organization evolves. To that end, they walk you through the detailed steps of designing, developing, and deploying a DW/BI system. You'll learn to create adaptable systems that deliver data and analyses to business users so they can make better business decisions.

THE DATAWAREHOUSE LIFECYCLE TOOLKIT With CD

Author : Ralph Kimball
File Size : 57.45 MB
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Market_Desc: · Database/Data Warehouse Developer· Designer or Manager Special Features: · Covers how to design data marts that are well integrated with the overall data warehouse design· Includes CD-ROM with useful checklists· CD-ROM includes useful checklists and an upgraded version of StarTracker software About The Book: In its simplest terms, this book is a step-by-step methodology for designing, developing, and deploying data marts and data warehouses. It shows how dimensional design fits in the overall lifecycle of planning, designing, developing, and deploying data marts and data warehouses. In other words, it covers ALL of the steps a developer needs to go through to guarantee a successful enterprise-wide data warehousing solution. It also covers how to design data marts that are well integrated with the overall data warehouse architecture.

THE DATA WAREHOUSE LIFECYCLE TOOLKIT 2ND ED

Author : Ralph Kimball
File Size : 77.76 MB
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Market_Desc: · Data warehouse Designers· Data warehouse Architects· Data warehouse Developers· Data warehouse Managers Special Features: · The current first edition has sold more than 72,000 copies, generating net revenue of more than $2.5 million· The methods described in this book have been adopted by almost all leading data warehouse vendors· Ralph Kimball and his co-authors are recognized as the driving thought leaders in the data warehousing industry; there is no direct competition· The authors actively promote this methodology in training and consulting worldwide and in their writing in magazines and online About The Book: The book covers best practices from data warehouse project inception through on-going program management. About 30 to 40% of the content in the book is updated and new. This revised tutorial covers major lifecycle topics such as dimensional modeling, tech architecture, ETL, BI etc. It is targeted at both novice and experienced data warehouse professionals.

The Data Warehouse Toolkit

Author : Ralph Kimball
File Size : 55.92 MB
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Kimball s Data Warehouse Toolkit Classics

Author : Ralph Kimball
File Size : 69.15 MB
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Cowritten by Ralph Kimball, the world's leading data warehousing authority Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loading the end product into the data warehouse Offers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality This book is also available as part of the Kimball's Data Warehouse Toolkit Classics Box Set (ISBN: 9780470479575) with the following 3 books: The Data Warehouse Toolkit, 2nd Edition (9780471200246) The Data Warehouse Lifecycle Toolkit, 2nd Edition (9780470149775) The Data Warehouse ETL Toolkit (9780764567575)

CD ROM to Accompany The Data Warehouse Lifecycle Toolkit

Author : Ralph Kimball
File Size : 54.52 MB
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The Microsoft Data Warehouse Toolkit

Author : Joy Mundy
File Size : 80.73 MB
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The Data Warehouse ETL Toolkit

Author : Ralph Kimball
File Size : 68.33 MB
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Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loading the end product into the data warehouse Offers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality

Kimball s Data Warehouse Toolkit Classics

Author : Ralph Kimball
File Size : 70.93 MB
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Three books by the bestselling authors on Data Warehousing! The most authoritative guides from the inventor of the technique all for a value price. The Data Warehouse Toolkit, 3rd Edition (9781118530801) Ralph Kimball invented a data warehousing technique called "dimensional modeling" and popularized it in his first Wiley book, The Data Warehouse Toolkit. Since this book was first published in 1996, dimensional modeling has become the most widely accepted technique for data warehouse design. Over the past 10 years, Kimball has improved on his earlier techniques and created many new ones. In this 3rd edition, he will provide a comprehensive collection of all of these techniques, from basic to advanced. The Data Warehouse Lifecycle Toolkit, 2nd Edition (9780470149775) Complete coverage of best practices from data warehouse project inception through on-going program management. Updates industry best practices to be in sync with current recommendations of Kimball Group. Streamlines the lifecycle methodology to be more efficient and user-friendly The Data Warehouse ETL Toolkit (9780764567575) shows data warehouse developers how to effectively manage the ETL (Extract, Transform, Load) phase of the data warehouse development lifecycle. The authors show developers the best methods for extracting data from scattered sources throughout the enterprise, removing obsolete, redundant, and innaccurate data, transforming the remaining data into correctly formatted data structures, and then physically loading them into the data warehouse. This book provides complete coverage of proven, time-saving ETL techniques. It begins with a quick overview of ETL fundamentals and the role of the ETL development team. It then quickly moves into an overview of the ETL data structures, both relational and dimensional. The authors show how to build useful dimensional stuctures, providing practical examples of beginning through advanced techniques.

A Manager s Guide to Data Warehousing

Author : Laura Reeves
File Size : 24.49 MB
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Aimed at helping business and IT managers clearly communicate with each other, this helpful book addresses concerns straight-on and provides practical methods to building a collaborative data warehouse . You’ll get clear explanations of the goals and objectives of each stage of the data warehouse lifecycle while learning the roles that both business managers and technicians play at each stage. Discussions of the most critical decision points for success at each phase of the data warehouse lifecycle help you understand ways in which both business and IT management can make decisions that best meet unified objectives.

The Data Webhouse Toolkit

Author : Ralph Kimball
File Size : 35.39 MB
Format : PDF
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"Ralph's latest book ushers in the second wave of the Internet. . . . Bottom line, this book provides the insight to help companies combine Internet-based business intelligence with the bounty of customer data generated from the internet."--William Schmarzo, Director World Wide Solutions, Sales, and Marketing,IBM NUMA-Q. Receiving over 100 million hits a day, the most popular commercial Websites have an excellent opportunity to collect valuable customer data that can help create better service and improve sales. Companies can use this information to determine buying habits, provide customers with recommendations on new products, and much more. Unfortunately, many companies fail to take full advantage of this deluge of information because they lack the necessary resources to effectively analyze it. In this groundbreaking guide, data warehousing's bestselling author, Ralph Kimball, introduces readers to the Data Webhouse--the marriage of the data warehouse and the Web. If designed and deployed correctly, the Webhouse can become the linchpin of the modern, customer-focused company, providing competitive information essential to managers and strategic decision makers. In this book, Dr. Kimball explains the key elements of the Webhouse and provides detailed guidelines for designing, building, and managing the Webhouse. The results are a business better positioned to stay healthy and competitive. In this book, you'll learn methods for: - Tracking Website user actions - Determining whether a customer is about to switch to a competitor - Determining whether a particular Web ad is working - Capturing data points about customer behavior - Designing the Website to support Webhousing - Building clickstream datamarts - Designing the Webhouse user interface - Managing and scaling the Webhouse The companion Website at www.wiley.com/compbooks/kimball provides updates on Webhouse technologies and techniques, as well as links to related sites and resources.

Building and Maintaining a Data Warehouse

Author : Fon Silvers
File Size : 39.3 MB
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As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the completed product. While it may be easy to plan for a data warehouse that incorporates all the right concepts, taking the steps needed to create a warehouse that is as functional and user-friendly as it is theoreti

Data Warehousing 2000

Author : Reinhard Jung
File Size : 47.48 MB
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Data Warehousing hat in den letzten Jahren in vielen Unternehmen stark an Bedeutung gewonnen und ist dabei zu einer der zentralen Herausforderungen im Informationsmanagement geworden. FA1/4r viele Anwendungen, wie beispielsweise Customer-Relationship-Management oder FA1/4hrungsinformationssysteme, bilden Data-Warehouse-Architekturen eine wesentliche Grundlage. Der Tagungsband zur Konferenz "Data Warehousing 2000 - Methoden, Anwendungen, Strategien" gibt einen Aoeberblick zum State-of-the-Art sowohl im Bereich Entwicklung aus technischer und organisatorischer bzw. betriebswirtschaftlicher Sicht als auch im Bereich der vielfAltigen AnwendungsmAglichkeiten einer Data-Warehouse-Architektur. Neben AufsAtzen aus dem wissenschaftlichen Bereich finden sich auch Berichte aus laufenden und abgeschlossenen Projekten im Umfeld des Data Warehousing.

Progressive Methods in Data Warehousing and Business Intelligence Concepts and Competitive Analytics

Author : Taniar, David
File Size : 61.4 MB
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Provides developments and research, as well as current innovative activities in data warehousing and mining, focusing on the intersection of data warehousing and business intelligence.

Data Warehousing Fundamentals for IT Professionals

Author : Paulraj Ponniah
File Size : 83.19 MB
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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.

Business Intelligence Roadmap

Author : Larissa Terpeluk Moss
File Size : 64.72 MB
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This software will enable the user to learn about business intelligence roadmap.

Business Analysis for Business Intelligence

Author : Bert Brijs
File Size : 21.45 MB
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Aligning business intelligence (BI) infrastructure with strategy processes not only improves your organization's ability to respond to change, but also adds significant value to your BI infrastructure and development investments. Until now, there has been a need for a comprehensive book on business analysis for BI that starts with a macro view and

Data Warehouse Designs

Author : Fon Silvers
File Size : 23.22 MB
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Market Basket Analysis (MBA) provides the ability to continually monitor the affinities of a business and can help an organization achieve a key competitive advantage. Time Variant data enables data warehouses to directly associate events in the past with the participants in each individual event. In the past however, the use of these powerful tool

Selected Readings on Strategic Information Systems

Author : Hunter, M. Gordon
File Size : 58.74 MB
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"This book offers research articles on key issues concerning information technology in support of the strategic management of organizations"--Provided by publisher.

Data Virtualization for Business Intelligence Systems

Author : Rick van der Lans
File Size : 21.45 MB
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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.