Measuring the Data Universe Data Integration Using Statistical Data and Metadata Exchange /

• Κύριοι συγγραφείς: Stahl, Reinhold (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Staab, Patricia (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Statistics .; Data structures (Computer science).; Data mining.; Big data.; Applied Statistics.; Data Structures.; Data Mining and Knowledge Discovery.; Big Data/Analytics.; Big Data.

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...

Πίνακας περιεχομένων:

• 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.