Big data analytics in earth, atmospheric, and ocean sciences

Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Preface -- Chapter 1 An Introduction to Big Data Analytics -- 1.1 Overview -- 1.1.1 What Differentiates Spatial Big Data -- 1.2 Definitions -- 1.3 Example Problems -- 1.3.1 Agriculture -- 1.3.2 Commerce -- 1.3.3 Connected Cars -...

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Weitere Verfasser:	Huang, Thomas (HerausgeberIn), Vance, Tiffany C. (HerausgeberIn), Lynnes, Christopher (HerausgeberIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	Hoboken Wiley 2023
Schriftenreihe:	Special publications / American Geophysical Union 77
Schlagworte:	Angewandte Geowissenschaften > Datenanalyse > Datenauswertung > Big Data > Explorative Datenanalyse > Statistische Analyse > Geowissenschaften > Cloud Computing > Fernerkundung > Maschinelles Lernen > Angewandte Mathematik > Data Mining > Neuronales Netz > Methode
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Beschreibung
Zusammenfassung:	Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Preface -- Chapter 1 An Introduction to Big Data Analytics -- 1.1 Overview -- 1.1.1 What Differentiates Spatial Big Data -- 1.2 Definitions -- 1.3 Example Problems -- 1.3.1 Agriculture -- 1.3.2 Commerce -- 1.3.3 Connected Cars -- 1.3.4 Environment -- 1.3.5 Financial Services -- 1.3.6 Government Agencies -- 1.3.7 Health Care -- 1.3.8 Marketing -- 1.3.9 Mining -- 1.3.10 Petroleum -- 1.3.11 Retail -- 1.3.12 Telecommunications -- 1.3.13 Transportation -- 1.3.14 Utilities -- 1.4 Big Data Analysis Concepts -- 1.4.1 Summarizing Data -- 1.4.2 Identify Locations -- 1.4.3 Pattern Analysis -- 1.4.4 Cluster Analysis -- 1.4.5 Proximity Analysis -- 1.4.6 Predictive Modeling -- 1.5 Technology and Tools -- 1.5.1 Available Tools -- 1.6 Challenges -- 1.7 Summary -- References -- Part I Big Data Analytics Architecture -- Chapter 2 Introduction to Big Data Analytics Architecture -- References -- Chapter 3 Scaling Big Earth Science Data Systems Via Cloud Computing -- 3.1 Introduction -- 3.2 Key Concepts of Science Data Systems (SDSes) -- 3.3 Increasing Data Processing, Volumes, and Rates -- 3.3.1 Historical Example -- 3.3.2 Example of On‐Premises SDS -- 3.3.3 Exceeding On‐Premise Capacities -- 3.4 Cloud Concepts for SDSes -- 3.4.1 IaaS (Infrastructure as a Service) -- 3.4.2 PaaS (Platform as a Service) -- 3.4.3 SaaS (Software as a Service) -- 3.4.4 XaaS (Everything as a Service) -- 3.5 Architecture Components of Cloud‐Based SDS -- 3.5.1 Algorithm Development Environment -- 3.5.2 Processing Algorithm Catalog -- 3.5.3 Resource Management -- 3.5.4 Processing Orchestration/Workflow Management -- 3.5.5 Compute Services -- 3.5.6 Data Catalog -- 3.5.7 Data Storage Services -- 3.5.8 Common Services for Logging, Metrics, Events, and Analytics.
Beschreibung:	xvii, 328 Seiten Illustrationen, Diagramme
ISBN:	9781119467571 978-1-119-46757-1