Measuring the Data Universe [electronic resource] Data Integration Using Statistical Data and Metadata Exchange / by Reinhold Stahl, Patricia Staab.

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 t...

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Bibliographic Details
Main Authors: Stahl, Reinhold (Author)
Staab, Patricia (Author)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Subjects:
Statistics .
Artificial intelligence—Data processing.
Data mining.
Quantitative research.
Big data.
Online Access:
Springer Mathematics and Statistics eBooks 2018 English/International: 2018 (Springer Link)
Format: Electronic eBook
Contents:
  • 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.