Title
Data Model Patterns: Conventions Of Thought,Used
Processing time: 1-3 days
US Orders Ships in: 3-5 days
International Orders Ships in: 8-12 days
Return Policy: 15-days return on defective items
Payment Option
Learning The Basics Of A Modeling Technique Is Not The Same As Learning How To Use And Apply It. To Develop A Data Model Of An Organization Is To Gain Insights Into Its Nature That Do Not Come Easily. Indeed, Analysts Are Often Expected To Understand Subtleties Of An Organization'S Structure That May Have Evaded People Who Have Worked There For Years. Here'S Help For Those Analysts Who Have Learned The Basics Of Data Modeling (Or 'Entity/Relationship Modeling') But Who Need To Obtain The Insights Required To Prepare A Good Model Of A Real Business. Structures Common To Many Types Of Business Are Analyzed In Areas Such As Accounting, Material Requirements Planning, Process Manufacturing, Contracts, Laboratories, And Documents. Topics In Each Chapter, Highlevel Data Models Are Drawn From The Following Business Areas: * The Enterprise And Its World * The Things Of The Enterprise * Procedures And Activities * Contracts * Accounting * The Laboratory * Material Requirements Planning * Process Manufacturing * Documents * Lowerlevel Conventions
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What are the dimensions of this book? A: The book measures seven point five two inches in length, zero point seven five inches in width, and ten point five one inches in height.
- Q: How many pages does this book have? A: This book contains two hundred sixty-eight pages, providing a comprehensive overview of data model patterns.
- Q: What type of binding does this book have? A: This book is bound in hardcover, ensuring durability and a professional appearance.
- Q: Who is the author of this book? A: The author of the book is David C. Hay, a recognized expert in data modeling.
- Q: What topics are covered in this book? A: The book covers various topics, including enterprise structure, accounting, and material requirements planning.
- Q: Is this book suitable for beginners? A: Yes, this book is ideal for individuals who have basic knowledge of data modeling and seek deeper insights.
- Q: How can I apply the techniques discussed in the book? A: You can apply the techniques by learning the principles of data modeling and practicing them on real business scenarios.
- Q: Is this book relevant for professionals in data management? A: Yes, professionals in data management will find valuable insights and patterns applicable to their work.
- Q: How should I store this book to keep it in good condition? A: Store the book in a cool, dry place, away from direct sunlight to prevent damage to the cover and pages.
- Q: Can I loan this book to others? A: Yes, you can loan this book, but ensure it is returned to avoid loss or damage.
- Q: What if I find errors in the book? A: If you find errors, consider reaching out to the publisher for possible corrections or updates.
- Q: Is there a warranty for this book? A: Typically, books do not come with a warranty, but you can check the retailer's return policy.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact the seller immediately for a return or replacement.
- Q: Are there any recommended companion materials for this book? A: Yes, consider supplementary texts on advanced data modeling techniques for a more comprehensive understanding.
- Q: Is this book suitable for academic study? A: Yes, this book is suitable for academic study in information management and data modeling courses.
- Q: What age group is this book appropriate for? A: This book is suitable for adults and college students interested in information management techniques.