Business Metadata: Capturing Enterprise Knowledge (Enhanced Edition) Business Metadata: Capturing Enterprise Knowledge (Enhanced Edition)

Business Metadata: Capturing Enterprise Knowledge (Enhanced Edition‪)‬

W.H. Inmon والمزيد
    • ‏62٫99 US$
    • ‏62٫99 US$

وصف الناشر

Business Metadata: Capturing Enterprise Knowledge is the first book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and management. Written by Bill Inmon, one of the fathers of the data warehouse and well-known author, the book is filled with war stories, examples, and cases from current projects. It includes a complete metadata acquisition methodology and project plan to guide readers every step of the way, and sample unstructured metadata for use in self-testing and developing skills.

This book is recommended for IT professionals, including those in consulting, working on systems that will deliver better knowledge management capability. This includes people in these positions: data architects, data analysts, SOA architects, metadata analysts, repository (metadata data warehouse) managers as well as vendors that have a metadata component as part of their systems or tools. First book that helps businesses capture corporate (human) knowledge and unstructured data, and offer solutions for codifying it for use in IT and management Written by Bill Inmon, one of the fathers of the data warehouse and well-known author, and filled with war stories, examples, and cases from current projects Very practical, includes a complete metadata acquisition methodology and project plan to guide readers every step of the way Includes sample unstructured metadata for use in self-testing and developing skills

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٢٨ يوليو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Elsevier Science
البائع
Elsevier Ltd.
الحجم
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‫م.ب.‬
Business Classification Schemes for E-Records Business Classification Schemes for E-Records
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Enterprise Information Management Enterprise Information Management
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Information-Driven Business Information-Driven Business
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Linking Enterprise Data Linking Enterprise Data
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Business Intelligence Business Intelligence
٢٠٠٣
Semantic Applications Semantic Applications
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Data Architecture: A Primer for the Data Scientist Data Architecture: A Primer for the Data Scientist
٢٠١٤
DW 2.0: The Architecture for the Next Generation of Data Warehousing DW 2.0: The Architecture for the Next Generation of Data Warehousing
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Data Architecture: A Primer for the Data Scientist Data Architecture: A Primer for the Data Scientist
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