{"product_id":"data-model-scorecard-applying-the-industry-standard-on-data-model-quality-paperback","title":"Data Model Scorecard: Applying the Industry Standard on Data Model Quality - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSteve Hoberman\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eData models are the main medium used to communicate data requirements from business to IT, and within IT from analysts, modelers, and architects, to database designers and developers. Therefore it's essential to get the data model right. But how do you determine \u003cem\u003eright\u003c\/em\u003e? That's where the Data Model Scorecard\u003csup\u003e(R)\u003c\/sup\u003e comes in.\u003c\/p\u003e\u003cp\u003eThe Data Model Scorecard is a data model quality scoring tool containing ten categories aimed at improving the quality of your organization's data models. Many of my consulting assignments are dedicated to applying the Data Model Scorecard to my client's data models - I will show you how to apply the Scorecard in this book.\u003c\/p\u003e\u003cp\u003eThis book, written for people who build, use, or review data models, contains the Data Model Scorecard template and an explanation along with many examples of each of the ten Scorecard categories. There are three sections: \u003c\/p\u003e\u003cp\u003eIn Section I, \u003cem\u003eData Modeling and the Need for Validation\u003c\/em\u003e, receive a short data modeling primer in Chapter 1, understand why it is important to get the data model right in Chapter 2, and learn about the Data Model Scorecard in Chapter 3.\u003c\/p\u003e\u003cp\u003eIn Section II, \u003cem\u003eData Model Scorecard Categories\u003c\/em\u003e, we will explain each of the ten categories of the Data Model Scorecard. There are ten chapters in this section, each chapter dedicated to a specific Scorecard category: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eChapter 4: Correctness\u003c\/li\u003e \u003cli\u003eChapter 5: Completeness\u003c\/li\u003e \u003cli\u003eChapter 6: Scheme\u003c\/li\u003e \u003cli\u003eChapter 7: Structure\u003c\/li\u003e \u003cli\u003eChapter 8: Abstraction\u003c\/li\u003e \u003cli\u003eChapter 9: Standards\u003c\/li\u003e \u003cli\u003eChapter 10: Readability\u003c\/li\u003e \u003cli\u003eChapter 11: Definitions\u003c\/li\u003e \u003cli\u003eChapter 12: Consistency\u003c\/li\u003e \u003cli\u003eChapter 13: Data\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eIn Section III, \u003cem\u003eValidating Data Models\u003c\/em\u003e, we will prepare for the model review (Chapter 14), cover tips to help during the model review (Chapter 15), and then review a data model based upon an actual project (Chapter 16).\u003c\/p\u003e\u003ch3\u003eFront Jacket\u003c\/h3\u003e\u003cp\u003eData models are the main medium used to communicate data requirements from business to IT, and within IT from analysts, modelers, and architects, to database designers and developers. Therefore it's essential to get the data model right. But how do you determine right? That's where the Data Model Scorecard comes in.\r \r The Data Model Scorecard is a data model quality scoring tool containing ten categories aimed at improving the quality of your organization's data models. Many of my consulting assignments are dedicated to applying the Data Model Scorecard to my client's data models  I will show you how to apply the Scorecard in this book. \r \r This book, written for people who build, use, or review data models, contains the Data Model Scorecard template and an explanation along with many examples of each of the ten Scorecard categories. There are three sections:\r \r In Section I, Data Modeling and the Need for Validation, receive a short data modeling primer in Chapter 1, understand why it is important to get the data model right in Chapter 2, and learn about the Data Model Scorecard in Chapter 3. \r \r In Section II, Data Model Scorecard Categories, we will explain each of the ten categories of the Data Model Scorecard. There are ten chapters in this section, each chapter dedicated to a specific Scorecard category:\r ¢¢Chapter 4: Correctness\r ¢¢Chapter 5: Completeness\r ¢¢Chapter 6: Scheme\r ¢¢Chapter 7: Structure\r ¢¢Chapter 8: Abstraction\r ¢¢Chapter 9: Standards\r ¢¢Chapter 10: Readability\r ¢¢Chapter 11: Definitions\r ¢¢Chapter 12: Consistency\r ¢¢Chapter 13: Data\r \r In Section III, Validating Data Models, we will prepare for the model review (Chapter 14), cover tips to help during the model review (Chapter 15), and then review a data model based upon an actual project (Chapter 16).\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 202\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.43 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 15, 2015\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52492825887027,"sku":"9781634620826","price":60.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/Zkl4cUtsNlBLUzltQzRtN0p5dlVBdz09.webp?v=1759942663","url":"https:\/\/www.vysn.com\/en-ca\/products\/data-model-scorecard-applying-the-industry-standard-on-data-model-quality-paperback","provider":"VYSN","version":"1.0","type":"link"}