Data Warehousing Fundamentals for IT Professionals

The first version was written by Rod Johnson who released the framework with the publication of his book Expert One-on-One J2EE Design and Development in October 2002. The framework was first released under the Apache 2.0 license in June 2003. The first milestone release, 1.0, was released in March 2004, with further milestone releases in September 2004 and March 2005. The Spring 1.2.6 framework won a Jolt productivity award and a JAX Innovation Award in 2006. Spring 2.0 was released in October 2006, and Spring 2.5 in November 2007. In December 2009 version 3.0 GA was released. The current version is 3.0.5.

The core features of the Spring Framework can be used by any Java application, but there are extensions for building web applications on top of the Java EE platform. Although the Spring Framework does not impose any specific programming model, it has become popular in the Java community as an alternative to, replacement for, or even addition to the Enterprise JavaBean (EJB) model.

This book is your ultimate resource for Spring Framework. Here you will find the most up-to-date information, analysis, background and everything you need to know.

In easy to read chapters, with extensive references and links to get you to know all there is to know about Spring Framework right away, covering: Spring Framework, Java EE version history, Java Platform, Enterprise Edition, Apache ActiveMQ, Apache Axis2, Apache Camel, Apache CXF, Apache Geronimo, Apache Jackrabbit, Apache OpenEJB, Apache OpenJPA, Apache ServiceMix, Apache Shiro, Apache Sling, Apache Synapse, Apache Tapestry, Apache Tomcat, Apache Wicket, AppFuse, Aranea framework, Backbase, Barracuda (Java), Java BluePrints, Bonita Open Solution, Borland Enterprise Server, Java Business Integration, Canigó (framework), Apache Click, Comparison of application servers, Content repository API for Java, Conversational state (Java EE), Copernic tax project, Daffodil database, Java Data Objects, DataNucleus, EAR (file format), EasyBeans, Ebean, Echo (framework), Ehcache, EJBCA, Elemenope, Endpoint interface, Enterprise JavaBean, Enterprise Media Bean, Enterprise Sign On Engine, Entity Bean, FishCAT, Flexive, Force4, Fractal component model, FreeMarker, Fuse ESB, GlassFish, Granite data services, H-Sphere, Hibernate (Java), IBM WebSphere, IBM WebSphere Application Server, IBM WebSphere Application Server Community Edition, ItsNat, Java EE Connector Architecture, Java Object Oriented Querying, Java Persistence API, Java Persistence Query Language, JavaServer Faces, JavaServer Pages, JavaServer Pages compiler, JavaServer Pages Standard Tag Library, JBND, JBoss application server, JBoss Enterprise Application Platform, JBoss Enterprise SOA Platform, JBoss Messaging, JBoss operations network, JBoss Seam, JBoss SSO, JBPM, Jbpm5, JMeter, JOnAS, JRebel, JSP Weaver, Jspx-bay, Lomboz, Java Management Extensions, JConsole, Java Dynamic Management Kit, ManyDesigns Portofino, MC4J, Java Message Service, Mod jk, Mule (software), Apache MyFaces, MyFaces Trinidad, Java Naming and Directory Interface, Novell exteNd, Ojb, Open ESB, Open Message Queue, Openadaptor, OpenAM, OpenDS, Openframe, OpenPTK, OpenSSO, OpenXava, Oracle Application Server, Oracle WebLogic Server, Orion Application Server, OSCache, Peking University Application Server, Petals ESB, Plesk, Java Portlet Specification, IBM PureQuery, Resin Server, RichFaces, RIFE, Scriptlet, Seasar, Service Implementation Bean, Java Servlet, Session Beans, SiteMesh, Siwpas, SMF 120.9, Spring Batch, Spring Roo, Spring Security, Virgo (software), Stripes (framework)...and much more.

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Praise for The Data Model Resource Book, Volume 3

"Len and Paul look beneath the superficial issues of data modeling and have produced a work that is a must for every serious designer and manager of an IT project."
—Bill Inmon, World-renowned expert, speaker, and author on data warehousing and widely recognized as the "father of data warehousing"

"The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling is a great source for reusable patterns you can use to save a tremendous amount of time, effort, and cost on any data modeling effort. Len Silverston and Paul Agnewhave provided an indispensable reference of very high-quality patterns for the most foundational types of datamodel structures. This book represents a revolutionary leap in moving the data modeling profession forward."
—Ron Powell, Cofounder and Editorial Director of the Business Intelligence Network

"After we model a Customer, Product, or Order, there is still more about each of these that remains to be captured, such as roles they play, classifications in which they belong, or states in which they change. The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling clearly illustrates these common structures. Len Silverston and Paul Agnew have created a valuable addition to our field, allowing us to improve the consistency and quality of our models by leveraging the many common structures within this text."
—Steve Hoberman, Best-Selling Author of Data Modeling Made Simple

"The large national health insurance company I work at has actively used these data patterns and the (Universal Data Models) UDM, ahead of this book, through Len Silverston’s UDM Jump Start engagement. The patterns have found their way into the core of our Enterprise Information Model, our data warehouse designs, and progressively into key business function databases. We are getting to reuse the patterns across projects and are reaping benefits in understanding, flexibility, and time-to-market. Thanks so much."
—David Chasteen, Enterprise Information Architect

"Reusing proven data modeling design patterns means exactly that. Data models become stable, but remain very flexible to accommodate changes. We have had the fortune of having Len and Paul share the patterns that are described in this book via our engagements with Universal Data Models, LLC. These data modeling design patterns have helped us to focus on the essential business issues because we have leveraged these reusable building blocks for many of the standard design problems. These design patterns have also helped us to evaluate the quality of data models for their intended purpose. Many times there are a lot of enhancements required. Too often the very specialized business-oriented data model is also implemented physically. This may have significant drawbacks to flexibility. I’m looking forward to increasing the data modeling design pattern competence within Nokia with the help of this book."
—Teemu Mattelmaki, Chief Information Architect, Nokia

"Once again, Len Silverston, this time together with Paul Agnew, has made a valuable contribution to the body of knowledge about datamodels, and the act of building sound data models. As a professional data modeler, and teacher of data modeling for almost three decades, I have always been aware that I had developed some familiar mental "patterns" which I acquired very early in my data modeling experience. When teaching data modeling, we use relatively simple workshops, but they are carefully designed so the students will see and acquire a lot of these basic "patterns" — templates that they will recognize and can use to interpret different subject matter into data model form quickly and easily. I’ve always used these patterns in the course of facilitating data modeling sessions; I was able to recognize "Ah, this is just like . . . ," and quickly apply a pattern that I’d seen before. But, in all this time, I’ve never sat down and clearly categorized and documented what each of these “patterns’’ actually was in such a way that they could be easily and clearly communicated to others; Len and Paul have done exactly that. As in the other Data Model Resource Books, the thinking and writing is extraordinarily clear and understandable. I personally would have been very proud to have authored this book, and I sincerely applaud Len and Paul for another great contribution to the art and science of data modeling. It will be of great value to any data modeler."
—William G. Smith, President, William G. Smith & Associates, www.williamgsmith.com

"Len Silverston and Paul Agnew’s book, Universal Patterns for Data Modeling, is essential reading for anyone undertaking commercial datamodeling. With this latest volume that compiles and insightfully describes fundamental, universal data patterns, The Data Model Resource Book series represents the most important contribution to the data modeling discipline in the last decade."
—Dr. Graeme Simsion, Author of Data Modeling Essentials and Data Modeling Theory and Practice

Dimensional modeling has become the most widely accepted approach for data warehouse design. Here is a complete library of dimensional modeling techniques-- the most comprehensive collection ever written. 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, 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.

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)