XML Standard Requirements:5STARCooks Gerardus Blokdyk
Understand why SOA is important for business innovation and change Feeling overwhelmed by the buzz about service oriented architecture? Take heart! This bestselling guide makes it easy to understand what SOA is, why it´s important, and how your business can benefit. You´ll discover how to create reusable, flexible systems; how IT and management team up to make SOA work; and what SOA means to your bottom line. * What it is - see how SOA is designed for maximum adaptability * Building blocks - examine the main components of SOA and how they work * Break it to fix it - learn to deconstruct business processes and applications to identify their components, then put them together in new ways * The ´´X´´ factor - explore XML and how it´s used in SOA * Who´s the governor? - develop a governance strategy for SOA based on your company´s business rules and requirements * Keep it clean - find out how to assure data quality and consistency * Everything in balance - understand SOA in context with Web 2.0, unified communications, and cloud computing Open the book and find: * An easy test to determine whether you need SOA * Four common pitfalls and how to avoid them * Lessons learned from successful IT executives * The significance of using a registry and repository * How to leverage existing assets * Why identity management software matters for SOA * The benefits of SOA service management * The ROI of SOA from real-world experiences
Data Modeling Made Simple will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices. This book is written in a conversational style that encourages you to read it from start to finish and master these ten objectives: Know when a data model is needed and which type of data model is most effective for each situation Read a data model of any size and complexity with the same confidence as reading a book Build a fully normalized relational data model, as well as an easily navigatable dimensional model Apply techniques to turn a logical data model into an efficient physical design Leverage several templates to make requirements gathering more efficient and accurate Explain all ten categories of the Data Model Scorecard Learn strategies to improve your working relationships with others Appreciate the impact unstructured data has, and will have, on our data modeling deliverables Learn basic UML concepts Put data modeling in context with XML, metadata, and agile development Book Review by Johnny Gay In this book review, I address each section in the book and provide what I found most valuable as a data modeler. I compare, as I go, how the book´s structure eases the new data modeler into the subject much like an instructor might ease a beginning swimmer into the pool. This book begins like a Dan Brown novel. It even starts out with the protagonist, our favorite data modeler, lost on a dark road somewhere in France. In this case, what saves him isn´t a cipher, but of all things, something that´s very much like a data model in the form of a map! The author deems they are both way-finding tools.