By Steve Hoberman
The information version Scorecard is an information version caliber scoring device containing ten different types aimed toward bettering the standard of your organization's info versions. a lot of my consulting assignments are devoted to utilizing the information version Scorecard to my client's facts versions - i'll help you observe the Scorecard during this booklet.
This e-book, written for those that construct, use, or overview information types, comprises the knowledge version Scorecard template and an evidence in addition to many examples of every of the 10 Scorecard different types. There are 3 sections:
In part I, information Modeling and the necessity for Validation, obtain a brief information modeling primer in bankruptcy 1, comprehend why it is very important get the knowledge version correct in bankruptcy 2, and find out about the information version Scorecard in bankruptcy three.
In part II, facts version Scorecard different types, we'll clarify all of the ten different types of the information version Scorecard. There are ten chapters during this part, each one bankruptcy devoted to a particular Scorecard category:
- Chapter four: Correctness
- Chapter five: Completeness
- Chapter 6: Scheme
- Chapter 7: Structure
- Chapter eight: Abstraction
- Chapter nine: Standards
- Chapter 10: Readability
- Chapter eleven: Definitions
- Chapter 12: Consistency
- Chapter thirteen: Data
In part III, Validating information types, we'll organize for the version assessment (Chapter 14), disguise tips on how to support throughout the version assessment (Chapter 15), after which overview an information version dependent upon an exact undertaking (Chapter 16).
Read or Download Data Model Scorecard: Applying the Industry Standard on Data Model Quality PDF
Similar data modeling & design books
This publication includes chosen contributions of papers, many provided on the moment overseas Workshop on Neural Modeling of mind problems, in addition to a number of extra papers on similar themes, together with quite a lot of shows describing computational versions of neurological, neuropsychological and psychiatric problems.
Zufall ist ein erfolgreiches Mittel für Entwurf und Entwicklung vieler Systeme in Informatik und Technik. Zufallsgesteuerte Algorithmen sind oft effizienter, einfacher, preiswerter und überraschenderweise auch zuverlässiger als die besten deterministischen Programme. Warum ist die Zufallssteuerung so erfolgreich und wie entwirft guy randomisierte Systeme?
This bookconstitutes the refereed complaints of the second one overseas convention onSecurity Standardisation learn, SSR 2015, held in Tokyo, Japan, in December2015. The 13papers offered during this quantity have been conscientiously reviewed and chosen from 18submissions. they're equipped in topical sections named: bitcoin andpayment; protocol and API; research on cryptographic set of rules; privateness; andtrust and formal research.
Parallel processing for AI difficulties is of serious present curiosity as a result of its power for easing the computational calls for of AI tactics. The articles during this ebook give some thought to parallel processing for difficulties in different components of synthetic intelligence: photo processing, wisdom illustration in semantic networks, creation principles, mechanization of good judgment, constraint delight, parsing of typical language, information filtering and information mining.
- Large-Scale Graph Processing Using Apache Giraph
- Machine Learning with Spark - Second Edition
- Guide to Cloud Computing: Principles and Practice (Computer Communications and Networks)
- Gephi Cookbook
- Scilab : De la théorie à la pratique - II. Modéliser et simuler avec Xcos (French Edition)
Extra info for Data Model Scorecard: Applying the Industry Standard on Data Model Quality
Data Model Scorecard: Applying the Industry Standard on Data Model Quality by Steve Hoberman