Top recommendation for data modeling for dummies
Finding your suitable data modeling for dummies is not easy. You may need consider between hundred or thousand products from many store. In this article, we make a short list of the best data modeling for dummies including detail information and customer reviews. Let’s find out which is your favorite one.
Finding your suitable data modeling for dummies is not easy. You may need consider between hundred or thousand products from many store. In this article, we make a short list of the best data modeling for dummies including detail information and customer reviews. Let’s find out which is your favorite one.
Best data modeling for dummies
1. Data Modeling: A Beginner's Guide
Description
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality,authenticity, or access to any online entitlements included with the product.
Essential Skills--Made Easy!
Learn how to create data models that allow complex data to be analyzed, manipulated, extracted, and reported upon accurately. Data Modeling: A Beginner's Guide teaches you techniques for gathering business requirements and using them to produce conceptual, logical, and physical database designs. You'll get details on Unified Modeling Language (UML), normalization, incorporating business rules, handling temporal data, and analytical database design. The methods presented in this fast-paced tutorial are applicable to any database management system, regardless of vendor.
Designed for Easy Learning
- Key Skills & Concepts--Chapter-opening lists of specific skills covered in the chapter
- Ask the expert--Q&A sections filled with bonus information and helpful tips
- Try This--Hands-on exercises that show you how to apply your skills
- Notes--Extra information related to the topic being covered
- Self Tests--Chapter-ending quizzes to test your knowledge
Andy Oppel has taught database technology for the University of California Extension for more than 25 years. He is the author of Databases Demystified, SQL Demystified, and Databases: A Beginner's Guide, and the co-author of SQL: A Beginner's Guide, Third Edition, and SQL: The Complete Reference, Third Edition.
2. Data Modeling for the Business: A Handbook for Aligning the Business with IT using High-Level Data Models (Take It with You Guides)
Feature
Technics Publications LLCDescription
Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach and hands-on exercises to help you practice topics on your own. In this book, we review data modeling basics and explain why the core concepts stored in a high-level data model can have significant business impact on an organization. We explain the technical notation used for a data model and walk through some simple examples of building a high-level data model. We also describe how data models relate to other key initiatives you may have heard of or may be implementing in your organization. This book contains best practices for implementing a high-level data model, along with some easy-to-use templates and guidelines for a step-by-step approach.3. Data Modeling Made Simple: A Practical Guide for Business and IT Professionals, 2nd Edition
Feature
Used Book in Good ConditionDescription
Data Modeling Made Simple will provide you with a practical working knowledge of data modeling concepts and best practices. 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(r)
- Learn strategies to improve your working relationships with others
- Appreciate the impact unstructured data has on our data modeling deliverables
- Learn basic UML concepts
- Put data modeling in context with XML, metadata, and agile development
4. The Data Modeling Handbook: A Best-Practice Approach to Building Quality Data Models
Description
A Straightforward, No-Nonsense Guide to Building the Most Accurate, Complete, and Useful Data Models Possible. How do I know if my data model is accurate? When is a model really complete? Is it possible for a model to be both technically perfect and of no use to an organization, and what can I do to avoid that problem? This book provides answers to these and other crucial data modeling questions. While there are plenty of books that describe the characteristics of finished high-quality data models, only The Data Modeling Handbook gets down to the nitty-gritty of actually building one. Packed with real-world examples, annotated diagrams, and a wealth of rules and best practices, this field-tested guide provides experienced data modelers, architects, and engineers with hands-on guidance from two noted data management experts.* The only book offering clear, straightforward rules and guidelines for judging model accuracy and completeness
* Presents all rules in several notations, including IDEF1X, Martin, Chen, and Finkelstein
* Compares and contrasts the most popular modeling styles and demonstrates how great models can be built using any type of notation
* Explains how to use an organization's plans, policies, objectives, and strategies to build accurate, complete, and useful models
* Offers detailed guidance to establishing a continuous quality evaluation program that's easy to implement and follow
* Packed with real-world examples and annotated diagrams illustrating each point covered
* Describes how to use Case tools most effectively to build high-quality models
5. Predictive Analytics For Dummies (For Dummies Series)
Description
Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data
Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions.
Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more.
- Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses
- Helps readers see how to shepherd predictive analytics projects through their companies
- Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more
- Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data
- Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere
Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.