LEADER 04372nam 22005895 450 001 9910300108703321 005 20200703160054.0 010 $a3-319-76989-8 024 7 $a10.1007/978-3-319-76989-9 035 $a(CKB)4100000004243757 035 $a(DE-He213)978-3-319-76989-9 035 $a(MiAaPQ)EBC5396658 035 $a(PPN)22740632X 035 $a(EXLCZ)994100000004243757 100 $a20180516d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMeasuring the Data Universe$b[electronic resource] $eData Integration Using Statistical Data and Metadata Exchange /$fby Reinhold Stahl, Patricia Staab 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (VII, 117 p. 38 illus., 33 illus. in color.) 311 $a3-319-76988-X 327 $a0 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. 330 $aThis 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. 606 $aStatistics  606 $aData structures (Computer science) 606 $aData mining 606 $aBig data 606 $aApplied Statistics$3https://scigraph.springernature.com/ontologies/product-market-codes/S17000 606 $aData Structures$3https://scigraph.springernature.com/ontologies/product-market-codes/I15017 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070 606 $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120 615 0$aStatistics . 615 0$aData structures (Computer science). 615 0$aData mining. 615 0$aBig data. 615 14$aApplied Statistics. 615 24$aData Structures. 615 24$aData Mining and Knowledge Discovery. 615 24$aBig Data/Analytics. 615 24$aBig Data. 676 $a005.73 700 $aStahl$b Reinhold$4aut$4http://id.loc.gov/vocabulary/relators/aut$0767844 702 $aStaab$b Patricia$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910300108703321 996 $aMeasuring the Data Universe$92240077 997 $aUNINA