DW Servers
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
SQL Server 7 Backup & Recovery
Learn to develop restore plans for various scenarios, from minor data loss to complete hardware failures; increase reliability, availability, and performance through the use of standby servers and clustering; and distribute data throughout their enterprises with SQL Server 7's replication features. This book is also full of case studies.
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.
SQL Server 2000 XML Distilled
XML is one of a family of web standards for data description, validation, manipulation, and interchange. It enables the construction of application-specific data languages, which can be handled by generic tools. Its other main benefits are its platform independence, self-describing structure, and human readability. All the big relational database vendors are adding XML support to their databases – and their confidence in XML as a maturing data standard is strengthening. Microsoft's commitment to XML extends beyond the database to include application and presentation layers, particularly in .NET. The nascent field of web services will depend on the effective interface between relational databases and the XML messages that link them.
SQL Server Security Distilled
Securing SQL Server is one of the most important responsibilities of the SQL Server professional. Ensuring your data is safe requires a combination of good systems and database administration, and intelligent application design – weaving a security plan that matches the capabilities and vulnerabilities of each contributing part. But at its root, security is concerned with controlling access – authenticating who can access the data on the server, authorizing what users can do with that data, and securing data as it is transported. These core topics are the focus of this book.
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.
