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Back Cover Gain the working knowledge of SQL and relational databases essential for today's information systems professionals. Relational databases built on the SQL database language are the foundation for modern enterprise data processing and are also a force behind many of today's important technology trends. SQL: The Complete Reference provides an in-depth discussion of SQL fundamentals, modern SQL products, and SQL's role in trends such as data warehousing, "thin-client" architectures, and Internet-based e-commerce. This book is your one-stop resource for all you need to know about SQL. It will help you: Learn the key concepts and latest developments in relational database technology Master the industry-standard SQL language for managing database information Understand the differences among all the leading brands of DBMS systems Set up and manage SQL-based databases and write programs to access them Understand how to use and program SQL databases with application servers and the Web to create e-commerce applications Find out more about the proposed SQL3 standard and the key trends in object technologies, 64-bit architectures, distributed databases, 3tier Internet applications, and more About the Authors James R. Groff and Paul N. Weinberg were the co-founders of Network Innovations Corporation, an early developer of SQL-based networking

You may even prefer to think of the change as a type 1/3 change to region Designating the attributes that produce a type 3 response as a pair, however, may be more useful in communicating to ETL developers how changes should be processed This is how the region attributes are documented in Figure 8-4 It is important to recognize that a type 3 change does not preserve the historic context of facts Each time a type 3 change occurs, the history is restated There is no way to know, for example, what region Robert Davis was a part of when a particular order was placed This requires a type 2 approach As you will see later in this chapter, type 2 and type 3 responses can be combined, in a hybrid response known as type 1/2/3 Type 3 changes are comparatively rare, but they are occasionally warranted.

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software that links personal computers to corporate databases. Groff is currently CEO of TimesTen Performance Software, developer of an ultra-high performance main-memory SQL database for communications and Internet applications. Weinberg is vice president of A2i, Inc., developer of a databasedriven, cross-media catalog publishing system that supports printed and electronic output from a single data source.

Redistricting and geographic realignments are the most common examples Finance and accounting groups often designate new names or classifications for accounts on an annual basis Such cases have the lucky distinction of occurring at predictable intervals, although this is not always the case..

Information may be obtained from a variety of sources, such as an Oracle database, Microsoft SQL Server, and Microsoft Access. All the information is then processed so that the data is consistent, and then it is stored in a single database. This single central database can then be used to generate reports from all types of data stored within the company s database servers. Data warehouses are characterized by having very large data stores that are primarily treated as read-only. Periodic updates to the information are made to keep the information current. Although data warehouses solve one challenge making data available for reporting another problem exists: analyzing large quantities of data in meaningful ways is very difficult. Furthermore, reports that are run across all of this information can take a long time to process. Fortunately, there s a good solution to these challenges. . .

In this book, surrogate keys will be easily identifiable by the suffix _key in the column name In Figure 1-5, for example, the surrogate key for the customer dimension is called customer_key, the surrogate key for the salesperson dimension is called salesperson_key, and so forth Illustrations in this book will always list the surrogate key for a dimension table as its first attribute Dimension tables also contain key columns that uniquely identify something in an operational system Examples in Figure 1-5 include customer_id, sku, and salesperson_id In the operational systems, these columns identify specific customers, products, and salespeople, respectively These key columns are referred to as natural keys The separation of surrogate keys and natural keys allows the data warehouse to track changes, even if the originating operational system does not For example, suppose that customer ABC Wholesalers is identified by customer_id 10711 in an operational system.

Publisher Brandon A Nordin Associate Publisher and Editor-in-Chief Scott Rogers Senior Acquisitions Editor Wendy Rinaldi Acquisitions Editor Jane K. Brownlow Project Editor Heidi Poulin Editorial Assistant Monica Faltiss Copy Editor Nancy Crumpton Proofreader Rhonda Holmes Indexer Valerie Robbins Computer Designer Jani Beckwith Michelle Galicia Illustrators Robert Hansen Brian Wells Beth Young