LEADER 01655nam 2200397Ia 450 001 996387053703316 005 20221108022218.0 035 $a(CKB)4940000000083465 035 $a(EEBO)2248551017 035 $a(OCoLC)19636688 035 $a(EXLCZ)994940000000083465 100 $a19890501d1671 uy | 101 0 $awel 135 $aurbn||||a|bb| 200 12$aY ffydd ddi-ffvant$b[electronic resource] $eadroddiad o helynt y grefydd cristianogol er dechreuad y byd hyd yr oes hon, a phrofiad oi gwirionedd a i rhinwedd = The unfeigned faith : containing a briefe history of the Christian religion from the beginning of the world to this present age, and a proofe of its veritie and efficacie : yr ail-printiad gyd ag anghwanegiad 210 $a[Rhydychen] $cPrinteidig yn Rhydychen gan Hen: Hall, ac a werhir gan lyfrwyr Gwreclam a Llanfyllin, a chan Mr Goff yn Ghaer Fryddyn, a Mr Vertue yn Abergavenny, ac ymhen y bont ar ogur$d1671 215 $a[8], 240, [20] p 300 $aText solely in Welsh. 300 $aDedication signed: Charles Edwardes. 300 $aImperfect: print show-through. 300 $aReproduction of original in the Bodleian Library. 330 $aeebo-0014 606 $aChurch history 606 $aApologetics$vEarly works to 1800 606 $aApologetics$xHistory$y17th century 615 0$aChurch history. 615 0$aApologetics 615 0$aApologetics$xHistory 700 $aEdwards$b Charles$f1627 or 8-1691?$01010033 801 0$bEAG 801 1$bEAG 801 2$bWaOLN 906 $aBOOK 912 $a996387053703316 996 $aY ffydd ddi-ffvant$92367698 997 $aUNISA LEADER 04340nam 22005895 450 001 9910300108703321 005 20251116195833.0 010 $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 $eData Integration Using Statistical Data and Metadata Exchange /$fby Reinhold Stahl, Patricia Staab 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (VII, 117 p. 38 illus., 33 illus. in color.) 311 08$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