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Title
Measuring the data universe : data integration using statistical data and metadata exchange / Reinhold Stahl, Patricia Staab.
ISBN
9783319769899 (electronic book)
3319769898 (electronic book)
9783319769882
Published
Cham, Switzerland : Springer, 2018.
Language
English
Description
1 online resource
Item Number
10.1007/978-3-319-76989-9 doi
Call Number
QA76.9.D338
Dewey Decimal Classification
005.74
Summary
This richly illustrated book provides an easy-to-read introduction to the challenges of organizing and integrating modern data worlds, explaining the contribution of public statistics and the ISO standard SDMX (Statistical Data and Metadata Exchange). As such, it is a must for data experts as well those aspiring to become one. Today, exponentially growing data worlds are increasingly determining our professional and private lives. The rapid increase in the amount of globally available data, fueled by search engines and social networks but also by new technical possibilities such as Big Data, offers great opportunities. But whatever the undertaking – driving the block chain revolution or making smart phones even smarter – success will be determined by how well it is possible to integrate, i.e. to collect, link and evaluate, the required data. One crucial factor in this is the introduction of a cross-domain order system in combination with a standardization of the data structure. Using everyday examples, the authors show how the concepts of statistics provide the basis for the universal and standardized presentation of any kind of information. They also introduce the international statistics standard SDMX, describing the profound changes it has made possible and the related order system for the international statistics community.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 21, 2018).
Available in Other Form
Print version: 9783319769882
0 About the Authors
0 About This Book
Part 1: Creating Comprehensive Data Worlds using Standardisation
1 Where We Stand, Where We Want to Be, and How to Get There
2 What Does Reality Look Like?
3 What Can We Expect From Big Data?
4 Why is Data Integration so Hard?
5 Basic Thoughts about Standardisation
6 Standardisation and Research
7 Introducing Standards Successfully
8 Statistics Driving Successful Data Integration
9 Contribution of the Statistics Standard SDMX
10 Conclusion and Outlook
Part 2: The Statistics Standard SDMX
11 History of SDMX
12 The Main Elements of SDMX
13 Working With SDMX
14 SDMX as a key success factor for data integration
Glossary.
