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DW Design, Methodology
The Enterprise Data Warehouse: Planning, Building, and Implementation
This is an "in-the-trenches" guide to deploying data warehouses that align tightly with your business objectives. Sperley delivers a practical, business-focused methodology that's flexible enough for any enterprise.
Interactive Data Warehousing
From start to finish, data warehousing expert Harry Singh walks you through creating a Web-based data warehouse architecture for maximum growth and flexibility. Step by step, you'll learn how to choose the best platforms, technologies, and strategies for your organization-and implement them.
The Data Warehouse Method
Walk through the construction of a data warehouse using VLDB and OODBMS principles with this guide. Includes 64-bit multiprocessor UNIX systems, Oracle and BusinessObjects.
Data Warehousing Advice for Managers
Data Warehousing Advice for Managers/It helps readers: ** understand the benefits that data warehousing offers and convince upper management to take action ** coordinate the data warehouse with other technologies ** manage the implementation of the warehouse to ensure its compliance to specified requirements ** obtain the highest return on their investment.
Web Farming for the Data Warehouse
Data warehouses are usually based upon the contents of internal operations databases. With Web Farming, the focus can be balanced with external business factors, dealing moment by moment with global changes in the business environment.
The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing, Developing, and Deploying Data Warehouses
In his bestselling book, "The Data Warehouse Toolkit", Ralph Kimball showed you how to use dimensional modeling to design effective and usable data warehouses. Now, he carries these techniques to the larger issues of delivering complete data marts and data warehouses.
Data Warehouse Design Solutions
The authors of Data Warehouse Design Solutions share their expertise in designing successful data warehouses and concentrate on understanding business processes within a variety of industries.
Oracle8 Data Warehousing
Gary Dodge covers the basics of data warehousing and then moves into technical instructions on how to select the appropriate hardware architecture, design the warehouse for optimum performance, build the database, and run it. He covers advanced techniques for distributing and mining data.
Building the Operational Data Store, 2nd Edition
In Building the Data Warehouse, 2nd Edition, Inmon provides detailed discussion and analysis of all major issues related to the design and construction of the data warehouse. He shows how data warehouse solves the problem of getting information out of legacy systems and includes new techniques and applications of data warehouse technology.
Building a Better Data Warehouse
This book cuts through the hype and theory about data warehousing and gets down to the basics of walking every member of the team through design and implementation . Beyond "how to do it", this book is an implementation methodology that helps project teams identify who will be doing what and what tools each member will need.
Corporate Information Factory, 2nd Edition
The father of the data warehouse incorporates the latest technologies into his blueprint for integrated decision support systems Having invented the corporate information factory (CIF) to help IT and database managers cut through the jungle of information technologies out there, bestselling author Bill Inmon again teams up with experts Claudia Imhoff and Ryan Sousa to show you how to integrate all key components of the modern information system architecture in a way that meets your evolving business needs.
Managing the Data Warehouse
This book is written for those charged with the job of managing and administering their companies' data warehouses. Managing the Data Warehouse is a complete guide to everything information systems managers need to know to keep a data warehouse running smoothly, efficiently, and securely, now and in the years ahead.
Data Warehouse: From Architecture to Implementation
Devlin helps organize all of the bits and pieces into a (his) well architected view of the subject. The book provides an excellent, well organized overview of DW while providing enough detail to be useful to almost anyone involved in the process of building or maintaining a DW.
Decision Support in the Data Warehouse
The title includes a comprehensive survey of tools and technologies available today. This book explores decision support in a data warehousing environment. Focus is on building front-end decision support systems.
Planning and Designing the Data Warehouse
This is a comprehensive survey of key issues associated with planning and designing enterprise data warehouses. The text covers the process of implementing a data warehouse end-to-end, from planning to achieving management support, to implementing metadata repositories.
The Data Warehouse Challenge: Taming Data Chaos
Now, readers have to pull all data together in a single format that is compatible across the many different databases and software platforms used throughout the company. How? This resource shows them how.
Data Warehousing for Dummies
If you're looking for a slightly irreverent, humorous yet thorough discussion of data warehousing, then check out Data Warehousing for Dummies.
Building the Data Warehouse (3rd edition)
Since it was first published in 1990, W. H. Inmon’s Building the Data Warehouse has become the bible of data warehousing–– the first and best introduction to the subject. A lot has changed in data warehousing technology since the last edition appeared in 1996, and this latest volume is completely revised to reflect exciting new techniques and applications, update existing topics, and examine data marts, operational data stores, and the corporate information factory.
Data Warehousing, Data Mining, and OLAP
"Data Warehousing" is the nuts-and-bolts guide to designing a data management system using data warehousing, data mining, and online analytical processing (OLAP) and how successfully integrating these three technologies can give business a competitive edge.
The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses
Employing many real-life case studies of data warehouses, Ralph Kimball provides clear-cut guidelines on how to model data and design data warehouses to support advanced multidimensional decision support systems.
Building a Data Warehouse for Decision Support
Completely revised, expanded, and updated, this second edition gives extensive new coverage of data integration, management, indexing, cleansing, and transformation.
Using the Data Warehouse
The data warehouse is a method of storing historical and integrated data for use in decision support systems (DSS). The data warehouse provides a source of integrated enterprise-wide historical data. This book describes how to use a data warehouse once it has been constructed. The authors discuss how to use information to capture and maintain a competitive advantage and how to migrate legacy systems to a data warehouse.
Parallel Systems in the Data Warehouse
Readers will learn to leverage the power of parallel computing in their enterprise-wide data warehouses. This title focuses exclusively on UNIX-based parallel computing and relational databases in the data warehouse. The title answers tough questions for effective purchasing and decision making.
The Intranet Data Warehouse: Tools and Techniques for Building an Intranet-Enabled Data Warehouse
Open your data warehouse up to the intranet for faster, more efficient access to information[This book provides the strategies and technical solutions for connecting existing data warehouses to an Intranet, and designing new data warehouses that are Intranet-ready. Numerous case studies and examples are provided to illustrate the tools and techniques described, including CGI, JDBC, CORBA, and ActiveX.
Data Warehousing in the Real World: A Practical Guide for Building Decision Support Systems
Written in "cookbook" format, this book covers all stages of implementation from project planning and requirements analysis, through architecture and design, to administrative issues such as user access, security, and back-up/recovery.
Data Warehousing in Action
This book is a step-by-step guide to creating and managing a data warehouse from start to finish, reviewing marketing, technology, and design issues.
Data Warehouse: Practical Advice from the Experts
Intended as a practical handbook for the Data Warehouse. It is designed to help technical managers, project managers, and members of data warehouse project teams in all aspects of planning, designing, developing, implementing, and administering a data warehouse.
The Data Model Resource Book: A Library of Logical Data and Data Warehouse Designs
Proven data models that save companies' time and money developing databases and data warehouses. The Data Model Resource Book provides a common set of data models for specific functions common to most businesses, such as sales, marketing, order processing, budgeting, and accounting.
Building, Using, and Managing the Data Warehouse
Presents practical, real-world problems and solutions for a variety of issues related to information systems. Each separate issue is presented as an individual essay. They are all written by professionals representing both technological and user organizations.
Data Warehousing: Building the Corporate Knowledge
This book covers the fundamentals of successfully designing, modeling and delivering a data warehouse and details techniques and links readers to a comprehensive methodology that enables system professionals to build and deliver a data warehouse that meets both corporate and management needs.
Data Warehousing and Data Mining for Telecommunications
Through dozens of case studies and real-world examples, this clearly written guide shows telecommunications managers how to build more effective data warehouses without wasting time and money on impractical, untenable approaches.
Data Stores, Data Warehousing and the Zachman Framework: Managing Enterprise Knowledge
The Zachman Framework is a framework to organize and analyze data so it can be turned into a source of knowledge. Here is the first and last word on this hot topic from the inventors of the framework. The text explains how companies can apply this technology to their own data warehouses and stores.
Oracle Database Administration: The Essential Reference
The Oracle database administrator (DBA) performs a vitally important set of tasks at an Oracle site: database monitoring, backup and recovery, troubleshooting, and tuning for reliability and performance. The DBA also plays a role in initial database design, system configuration, installation, and security planning. This book provides a quick reference to the myriad details an Oracle DBA needs on a day-to-day basis to help do his or her job well.
Relational Database Design Clearly Explained
The book shows readers how to construct the SQL statements needed to install well-designed relational databases, and discusses other performance related database design issues, such as indexes and clustering.
Data Warehousing: Architecture and Implementation
Provides an overview of solutions and step-by-step processes for building warehouses. Some of the topics covered include migration strategies and scenarios, warehouse management, maintenance and support, 12 steps for implementation, techniques for schema design and metadata, and criteria for selecting the right hardware, software, and platforms.
The Essential Guide to Data Warehousing
Lou Agosta shows how data warehousing can dramatically reduce business uncertainty by transforming a tidal wave of information into knowledge that can be acted upon. Agosta also teaches the best ways to design, implement, and optimize data warehouses-- and how to avoid failure.
Microsoft Data Warehousing: Building Distributed Decision Support
Helps map the process for you, particularly if you're planning to build your warehouse around Microsoft SQL Server 7 and its related technologies.
Official Sybase: Data Warehousing on the Internet
Information systems professionals are taking advantage of the Internet to enhance business intellegence functions in their enterprise. Employees, customers and others can use the Internet to gather self-service information from the corporate data warehouse. Let this guide show you how.
SQL Server 7 Data Warehousing
A reference guide to data warehousing that covers designing, building, managing, and tuning data warehouses, as well as expansive content on the Plato OLAP server.
Data Warehouse Management Handbook
Provides a practical hands-on source book that guides you through the daily process of building and maintaining a data warehousing environment. CD-ROM included.
Choosing a Database for Your Web Site
Select and implement a top-notch Web site database with this comprehensive reference. An ideal reference tool, this book guides readers through every step of the database selection and implementation process-from refresher material on SQL, ODBC, and database design basics to hands-on, straightforward information and advice on a range of products and categories.
The Object Database Handbook: How to Select, Implement, and Use Object-Oriented Databases
This book puts you on the path to selecting the right object-oriented database product for your specific computing tasks and shows how to implement these solutions so that they work the first time. It give checklists that outline how to put together a selection team, describes the various types of object databases available, and tells exactly how they are used.
e-Data: Turning Data into Information with Data Warehousing
Reveals what business people should know about data warehouse implementation, as well as techniques for evaluating and justifying new data warehouses and data marts.
Exploration Warehousing
Bill Inmon introduces exploration warehousing, a revolutionary new method that helps users flush out business opportunities hidden in patterns of data. He explains the exploration process and identifies the types of data warehouse designs best suited for exploration. Using numerous case examples, he describes his original exploration techniques and demonstrates how IT and database managers can work together with business managers to identify patterns of data which, for example, indicate the existence of fertile new markets for products.
Object-Oriented Data Warehouse Design: A Star Schema
Designed to help build a complete star schema data model-from initial analysis through implementation, make better decisions about granularity and precision, master dimensioning, hierarchies, and sizing.
Oracle8i Data Warehousing
Explains how to design, develop and administer powerful data warehouses and data marts on Windows NT using Oracle's database. This authoritative guide helps database developers, administrators, and designers master the major new data warehousing and Internet capabilities in Oracle8i and specifically plan and implement affordable and successful data warehouses and data marts.
Data Warehousing With Microsoft SQL Server 7 Technical Reference
This guide simplifies this process by showing you how to use the features of SQL Server 7.0 to design, build, and manage a data warehouse.
The Data Webhouse Toolkit: Building the Web-Enabled Data Warehouse
Today's most popular commercial Web sites receive more than 100 million hits a day—each hit, a potential source of valuable customer information. Unfortunately, many companies fail to take advantage of this intelligence gold mine for lack of a means of managing the torrent of data streaming into their Web sites.
Fundamentals of Data Warehouses
Data warehouses have captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains an art rather than a science. This book presents a comparative review of the state of the art and best current practice of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European Data Warehouse Quality project, it offers a conceptual framework by which the architecture and quality of data warehouse efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence. For researchers and database professionals in academia and industry, the book offers an excellent introduction to the issues of quality and metadata usage in the context of data warehouses.
Professional Data Warehousing with SQL Server 7.0 and OLAP Services
With the vast amounts of data flowing through the workplace on a daily basis, Data warehouses have evolved to cope with the huge volumes involved by separating the data used for reporting and decision making from the operational systems. Microsoft have entered the world of datawarehousing with the introduction of SQL Server 7 and OLAP Services.
Business Information Warehouse for SAP
Business Information Warehouse is the core information hub of all modules in SAP. This book shows you how to implement a data warehouse that can support reporting and analysis needs across diverse organizations and business functions.
Distributed Data Warehousing Using Web Technology : How to Build a More Cost-Effective and Flexible Warehouse
Internet technology has changed all that forever! In this insightful book, managers and information technology professionals get a clear-eyed overview of what's required to set up and use distributed data warehouses--which utilize multiple computers (networked together via Internet technology) to store and access data as needed. The book takes a look at: * Basic functions and benefits of a distributed data warehouse and what's required to set one up * Many of the complex technical issues involved, such as placement of functions and data, web-enabled computing technologies, object technologies, and more * The full spectrum of what a data warehouse can deliver--and how to exploit it * How to present and justify a business case for creating a data warehouse.
Designing A Total Data Storage Solution: Technology, Implementation, and Management
Technology and business end users view current data handling practices of storing, updating, and accessing data as both a problem and a significant strategic advantage. IT managers are worried about their ability of properly manage information dispersed throughout their companies. They are looking to data consolidation for better information management, protection, and sharing. Backup remains a concern for these managers.This book defines and explains the components that make up total cost of ownership along with the impact of integrating current technology changes. It considers what data is stored, how the data is accessed, and the data's security, volume, and growth. This book provides everything an IT manager needs in order to develop an efficient and cost-effective data storage plan.
Designing a Data Warehouse: Supporting Customer Relationship Management
For database developers, architects, consultants, project managers, and decision-makers Today's next-generation data warehouses are being built with a clear goal: to maximize the power of Customer Relationship Management. To make CRM-focused data warehousing work, you need new techniques, and new methodologies. In this book, Dr. Chris Todman—one of the world's leading data warehouse consultants—delivers the first start-to- finish methodology for defining, designing, and implementing CRM- focused data warehouses.
Practical Issues in Database Management: A Reference for the Thinking Practitioner
Written for database designers, programmers, managers, and users, it addresses the core, commonly recurring issues and problems that practitioners--even the most experienced database professionals--seem to systematically misunderstand.
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling (Second Edition)
Dimensional modeling has become the most widely accepted approach for data warehouse design. Greatly expanded to cover both basic and advanced techniques for optimizing data warehouse design, this second edition to Ralph Kimball’s classic guide is more than sixty percent updated.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.
The Data Model Resource Book, Volume 2, A Library of Data Models for Specific Industries, Revised Edition
If you’ve relied on The Data Model Resource Book, Revised Edition, Volume 1 (0-471-38023-7) to jump-start your system development efforts, then you know that using a library of proven data models and data warehouse designs can produce huge savings in development costs. But what about the unique needs of your industry?
Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design
The information revolution is in motion, and sound database design will drive the ease of data handling and, in turn, improve the results of business practices. A timely topic, then, is Object-Role Modeling (ORM), a way to design and query databases via an application written in lay terms. Halpin expertly explains ORM as well as other solid database design practices so that even seasoned pros will learn something new. Designers, programmers, systems analysts, and managers will discover everything they need to know about database design. Complete with a companion web site, this is highly recommended for libraries serving techies.
Rapidly Building Enterprise Data Warehouse Solutions with Sybase
Discover how companies can develop an enterprise data warehousing strategy that delivers immediate business value through data marts while ensuring corporate-wide data integrity and consistency. Many companies have found that data marts, which are focused, subject-specific data warehouses, are easier, faster and cheaper to build than centralized data warehouses that span the entire enterprise.
Data Management for Mobile Computing
Universal access and management of information has been one of the driving forces in the evolution of computer technology. Central computing gave the ability to perform large and complex computations and advanced information manipulation. Advances in networking connected computers together and led to distributed computing. Web technology and the Internet went even further to provide hyper-linked information access and global computing. However, restricting access stations to physical locations limits the boundary of the vision. The real global network can be achieved only via the ability to compute and access information from anywhere and anytime. This is the fundamental wish that motivates mobile computing. This evolution is the cumulative result of both hardware and software advances at various levels motivated by tangible application needs. Infrastructure research on communications and networking is essential for realizing wireless systems.
Mobile Data Management : 2nd International Conference, Mdm 2001
Proceedings of the Second International Conference on Mobile Data Management, MDM, held in Hong Kong, China, January 8-10, 2001. The papers focused on six main areas of study, including coping with movement, catching and hoarding, content delivery, data broadcasting, data management architectures, and networks and systems issues.
Advances in Database Technologies
This book presents the thoroughly refereed joint post- proceedings of three workshops held during the 17th International Conference on Conceptual Modeling, ER '98, in Singapore in November 1998. The 50 revised papers presented have gone through two rounds of reviewing and revision. The book is divided in sections on knowledge discovery, data mining, data and web warehousing, multidimensional databases, data warehouse design, caching, data dissemination, replication, mobile networks, mobile platforms, tracking and monitoring, collaborative work support, temporal data modelling, moving objects and spatial indexing, spatio-temporal databases, and video database contents.
Common Warehouse Metamodel Developer's Guide
This authoritative guide will show you how to develop interoperable data warehouse and business intelligence applications using the Common Warehouse Metamodel (CWM) specification. It provides you with clear explanations of how to implement CWM solutions for meta data interchange within your software products and use CWM-enabled tools in the construction of a corporate data warehouse, information factory, or supply chain. You’ll find detailed descriptions of four models of data warehousing that greatly benefit from a standards-based approach to meta data integration.
Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications
Business Intelligence Roadmap is the visual guide to developing an effective business intelligence (BI) decision-support application. This book outlines a methodology that takes into account the complexity of developing applications in an integrated BI environment. The authors walk readers through every step of the process—from strategic planning to the selection of new technologies and the evaluation of application releases. The book also serves as a single-source guide to the best practices of BI projects.
Database Systems: Design, Implementation, and Management, Fifth Edition
This book takes you clearly and effectively through the entire process of database development and implementation. The most comprehensive and detailed coverage of database basics is complemented with ample exercises and problems at the end of each chapter to encourage hands-on learning, and a two-chapter step-by-step running case. Because the Internet has become so firmly established as an extension of the everyday business data environment, this revised edition contains two new chapters, "Databases in Electronic Commerce" and "Web Database Development," that stress the need for solid planning and management in order to maximize the resources that the Internet provides.
Database Design for Mere Mortals: A Hands-On Guide to Relational Database Design
Sound design can save you hours of development time before you write a single line of code. Based on the author's years of experience teaching this material, Database Design for Mere Mortals is a straightforward, platform-independent tutorial on the basic principles of relational database design. Database design expert Michael J. Hernandez introduces the core concepts of design theory and method without the technical jargon. With it's hands-on approach and a wealth of practical examples, Database Design for Mere Mortals will provide any developer with a common-sense design methodology for developing databases that work.
Index Structures for Data Warehouses
Data warehouses differ significantly from traditional transaction-oriented operational database applications. Indexing techniques and index structures applied in the transaction- oriented context are not feasible for data warehouses. This work develops specific heuristic indexing techniques, which process range queries on aggregated data more efficiently than those traditionally used in transaction-oriented systems. The book presents chapters on: - the state of the art in data warehouse research - data storage and index structures - finding optimal tree-based index structures - aggregated data in tree-based index structures - performance models for tree-based index structures - and techniques for comparing index structures.
Informix Guide to Designing Databases and Data Warehouses
Written by a team of insiders, this is the most complete, authoritative guide to database and data warehouse design, implementation, and administration with Informix Dynamic Server.2000 and Informix Enterprise Decision Server. You'll start by walking through the construction of data models that illustrate each key approach to database design. Compare ANSI and non-ANSI compliant databases, learn the fundamentals of entity-relationship modeling, and choose appropriate data types. Next, you'll learn how to use the Informix implementation of SQL to implement and manage your databases.
Database Processing: Fundamentals, Design, and Implementation, Ninth Edition
This ninth edition provides a solid foundation in the fundamentals of database processing. It includes expanded and updated treatment of technologies like XML and ADO.NET as well as 30 pages of new exercises and problems.
Temporal Data and the Relational Model
Temporal database systems are systems that provide special support for storing, querying, and updating historical and/or future data. Current DBMSs provide essentially no temporal features at all, but this situation is likely to change soon for a variety of reasons; in fact, temporal databases are virtually certain to become important sooner rather than later, in the commercial world as well as in academia. This book provides an in-depth description of the foundations and principles on which those temporal DBMSs will be built. These foundations and principles are firmly rooted in the relational model of data; thus, they represent an evolutionary step, not a revolutionary one, and they will stand the test of time.
Spatial Databases: With Application to GIS
Textbook offering a unified, in-depth treatment of special techniques for dealing with spatial data, with special emphasis on the field of geographic information systems (GIS). Surveys various techniques developed to address specific features of spatial data not handled by mainstream DBMS technology.
Mastering Data Warehouse Design: Relational and Dimensional Techniques
- A cutting-edge response to Ralph Kimball's challenge to the data warehouse community that answers some tough questions about the effectiveness of the relational approach to data warehousing
- Written by one of the best-known exponents of the Bill Inmon approach to data warehousing
- Addresses head-on the tough issues raised by Kimball and explains how to choose the best modeling technique for solving common data warehouse design problems
- Weighs the pros and cons of relational vs. dimensional modeling techniques
- Focuses on tough modeling problems, including creating and maintaining keys and modeling calendars, hierarchies, transactions, and data quality
Intelligent Data Warehousing: From Data Preparation to Data Mining
This book presents state-of-the-art data warehousing research and practice from an integrated business and computer science perspective - the first monograph to do so - and broadens the scope of data mining by discussing it in terms of data warehousing. The material, rooted in database management systems and artificial intelligence, brings the intelligent techniques associated with AI to the entire process of data warehousing, from preparing data and building data warehousing to analyzing data.
Semantics in Business Systems: The Savvy Manager's Guide
Semantics in Business Systems begins with a description of what semantics are and how they affect business systems. It examines four main aspects of the application of semantics to systems, specifically: How do we infer meaning from unstructured information, how do application systems make meaning as they operate, how do practitioners uncover meaning in business settings, and how do we understand and communicate what we have deduced? This book illustrates how this applies to the future of application system development, especially how it informs and affects Web services and business rule- based approaches, and how semantics will play out with XML and the semantic Web. The book also contains a quick reference guide to related terms and technologies. It is part of Morgan Kaufmann's series of Savvy Manager's Guides.
Oracle DBA: Guide to Data Warehousing and Star Schemas
This author hopes this book serves as the DBA's definitive and detailed reference regarding the successful design, construction, tuning and maintenance of star schema data warehouses in Oracle 8i and 9i.
Mastering Data Warehouse Aggregates
This book provides in-depth coverage of star schema aggregates used in dimensional modeling - from selection and design, to loading and usage, to specific tasks and deliverables for implementation projects. It also covers the principles of aggregate schema design and the pros and cons of various types of commercial solutions for navigating and building aggregates as well as discusses how to include aggregates in data warehouse development projects that focus on incremental development, iterative builds and early data loads.
Implementing a Data Warehouse: A Methodology that Worked
The purpose of this book is to document the methodology and chronology of work activity used to successfully implement a data warehouse. Each step of the methodology is presented 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. Again, the purpose of this book is to provide actual examples of processes, work papers, technical documentation, pitfalls and measures of success that led to a successful working data warehouse. This is not "The BEST and ONLY Book" for implementing a data warehouse and associated BI, but if a reader wants to see a methodology that worked - this book will provide that view.
Implementing Enterprise Data Warehousing
Designing complex analytical data structures is difficult enough, but to do it for an entire enterprise becomes a real challenge. This little primer provides a simple method of preparing your people for the complexity of this endeavor. This is just like opening a new restaurant where certain components have to be designed and thought out before you start to build the kitchen. You do not have to be an "expert" to build a data warehouse. A lot can be outsourced, but you do need to be able to create your own plan according to your culture's specific requirements. Some cultures take more 'informing' and 'training' than others. The pace and aggressiveness with which you unfold your plan is something that you understand best. This primer defines the data warehouse components and helps you decide when they can be done, in what order, and by how many people.
