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Measuring the data universe = data i...

Stahl, Reinhold.

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Measuring the data universe = data integration using statistical data and metadata exchange /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Measuring the data universe/ by Reinhold Stahl, Patricia Staab.
Reminder of title:	data integration using statistical data and metadata exchange /
Author:	Stahl, Reinhold.
other author:	Staab, Patricia.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	vii, 117 p. :digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Data integration (Computer science) -
Online resource:	http://dx.doi.org/10.1007/978-3-319-76989-9
ISBN:	9783319769899

Measuring the data universe = data integration using statistical data and metadata exchange /
Stahl, Reinhold.

Measuring the data universedata integration using statistical data and metadata exchange /[electronic resource] :by Reinhold Stahl, Patricia Staab. - Cham :Springer International Publishing :2018. - vii, 117 p. :digital ;24 cm.

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.

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.

ISBN: 9783319769899

Standard No.: 10.1007/978-3-319-76989-9doiSubjects--Topical Terms:

1565903
Data integration (Computer science)

LC Class. No.: QA76.9.D338 / S734 2018

Dewey Class. No.: 005.74

Measuring the data universe = data integration using statistical data and metadata exchange /
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100 1 $a Stahl, Reinhold. $3 3332565
245 1 0 $a Measuring the data universe $h [electronic resource] : $b data integration using statistical data and metadata exchange / $c by Reinhold Stahl, Patricia Staab.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a vii, 117 p. : $b digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
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650 1 4 $a Statistics. $3 517247
650 2 4 $a Applied Statistics. $3 3300946
650 2 4 $a Data Structures. $3 891009
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Big Data/Analytics. $3 2186785
650 2 4 $a Big Data. $3 3134868
700 1 $a Staab, Patricia. $3 3332566
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856 4 0 $u http://dx.doi.org/10.1007/978-3-319-76989-9
950 $a Mathematics and Statistics (Springer-11649)