Metadata
Introduction to Metadata: Pathways to Digital Information
This book explains its importance and potential uses in the networked environment, and describes existing metadata standards in the field of cultural heritage information. A glossary of terms and expressions and a selected bibliography provide useful information for understanding this timely topic.
Metadata Management for Information Control and Business Success
Defining a new approach to data management at the enterprise level, this book takes you beyond information management to information control, where the methods of data capture and manipulation supersede data quantity.
Data Warehousing: Architecture and Implementation
Provides an overview of solutions and step-by-step processes for building warehouses. Some of the topics covered include migration strategies and scenarios, warehouse management, maintenance and support, 12 steps for implementation, techniques for schema design and metadata, and criteria for selecting the right hardware, software, and platforms.
Building and Managing the Meta Data Repository: A Full Life-Cycle Guide
In an effort to help database personnel manage the deluge of data generated by today's enterprise organizations, Microsoft, Oracle and other software vendors have spent millions developing meta data repositories. But repositories are large and complex, and developers need all the guidance they can get on developing, deploying and managing them. Written by a well-known columnist for DM Review magazine, this book gives it to them. This vendor-neutral guide provides coverage of meta data sources, standards and architecture.
Online GIS & Metadata
This book covers the principles, techniques and standards for online GIS, including online spatial information and data warehousing. It examines the idea of metadata and outlines why it is important today, especially in the context of online information. It explains the underlying methodologies, including relevant standards, and the tools and skills needed to manage metadata. Finally the subject is placed in the context of global GIS: putting data online; creating metadata; creating virtual data warehouses; geographic agents and spatial data mining. It includes detailed descriptions adn demonstrations of crucial processes, such as implementing spatial queries and map-building online.
Metadata Solutions: Using Metamodels, Repositories, XML, and Enterprise Portals to Generate Information on Demand
A practical text offering instructions for implementing and maintaining a metadata solutions. Offers case studies to illustrate real applications of metadata solutions, including common pitfalls. Also provides information about metadata security. Softcover. DLC: Information technology.
Professional XML Meta Data
For any developer or designer creating XML and searchable Web documents, Professional XML Meta Data covers the essential XML- based standards and concepts that will facilitate the emerging "semantic Web" of the near future. Mixing the practical side of existing standards with a bit of prognostication of this evolving technology, this ambitious book casts a wide net to highlight some standards that may very well play a role in the evolution of the Internet.
Integrating Results through Meta-Analytic Review Using SAS Software
Finally ... a book addressing the various needs,concepts, and approaches for SAS users who work with meta-analytic procedures! Wang and Bushman introduce the reader to the important concepts in meta-analysis and how to use SAS software for this specific type of analysis. The authors thoroughly describe how meta- analysis can be used in "data-mining" projects to discover meaningful relations among variables in a collection of studies. In addition, the following concepts are covered in detail: how to present your results in graphical format, how to combine effect-size estimates based on categorical and continuous data, vote-counting procedures to show the statistical significance of results, how to combine effect-size estimates and vote-counts, how to deal with fixed- and random-effects models, how to combine dependent or correlated effect-size estimates using multivariate procedures, and how to report the results and conduct the data analysis portion of a meta-analysis.
Managing Reference Data in Enterprise Databases
This book describes the different aspects of managing reference data. It is the only book available on this topic and provides both a conceptual foundation and practical advice. It is oriented to a general audience and can be read by both IT professionals and anyone with an interest in how an enterprise should manage its information. Some data modeling notations are used, but these are explained at the beginning of the book. Reference data concepts are introduced and their importance is explored. The management consequences of the unique characteristics of reference data are then described, along with techniques for managing reference data.
Universal Meta Data Models
The heart of the book provides the complete set of models that will support most of an organization’s core business functions, including universal meta models for enterprise-wide systems, business meta data and data stewardship, portfolio management, business rules, and XML, messaging, and transactions
- Developers can directly adapt these models to their own businesses, saving countless hours of development time
- Building effective meta data repositories is complicated and time-consuming, and few IT departments have the necessary expertise to do it right—which is why this book is sure to find a ready audience
Data Model Patterns: A Metadata Map
In recent years, companies and government agencies have come to realize that the data they use represent a significant corporate resource, whose cost calls for management every bit as rigorous as the management of human resources, money, and capital equipment. With this realization has come recognition of the importance to integrate the data that has traditionally only been available from disparate sources.
An important component of this integration is the management of the metadata that describe, catalogue, and provide access to the various forms of underlying business data. The metadata repository is essential keeping track both of the various physical components of these systems, but also their semantics. What do we mean by customer? Where can we find information about our customers?
After years of building enterprise models for the oil, pharmaceutical, banking, and other industries, Dave Hay has here not only developed a conceptual
Business Metadata
This book is about all the groundwork necessary for IT to really support the business properly. By providing not just data, but the context behind the data. For the IT professional, it will be tactically practical--very 'how to' and a detailed approach to implementing best practices supporting knowledge management. And for the the IT or other manager who needs a guide for creating and justifying projects, it will help provide a strategic map.
