Semantic modeling for data : avoiding pitfalls and breaking dilemmas
著者
書誌事項
Semantic modeling for data : avoiding pitfalls and breaking dilemmas
O'Reilly, c2020
- : pbk.
- タイトル別名
-
Semantic modeling for data
大学図書館所蔵 件 / 全2件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references and index
内容説明・目次
内容説明
What value does semantic data modeling offer? As an information architect or data science professional, let’s say you have an abundance of the right data and the technology to extract business gold—but you still fail. The reason? Bad data semantics.
In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You’ll learn how to master this craft to increase the usability and value of your data and applications. You’ll also explore the pitfalls to avoid and dilemmas to overcome for building high-quality and valuable semantic representations of data.
Understand the fundamental concepts, phenomena, and processes related to semantic data modeling
Examine the quirks and challenges of semantic data modeling and learn how to effectively leverage the available frameworks and tools
Avoid mistakes and bad practices that can undermine your efforts to create good data models
Learn about model development dilemmas, including representation, expressiveness and content, development, and governance
Organize and execute semantic data initiatives in your organization, tackling technical, strategic, and organizational challenges
「Nielsen BookData」 より