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321por Holdaway, Keith R.Tabla de Contenidos: “…Notes Chapter 02: Data Management Exploration and Production Value Proposition Data Management Platform Array of Data Repositories Structured Data and Unstructured Data Extraction, Transformation, and Loading Processes Big Data Big Analytics Standard Data Sources Case Study: Production Data Quality Control Framework Best Practices Notes Chapter 03: Seismic Attribute Analysis Exploration and Production Value Propositions Time-Lapse Seismic Exploration Seismic Attributes Reservoir Characterization Reservoir Management Seismic Trace Analysis Case Studies Reservoir Properties defined by Seismic Attributes Notes Chapter 04 Reservoir Characterization and Simulation Exploration and Production Value Propositions Exploratory Data Analysis Reservoir Characterization Cycle Traditional Data Analysis Reservoir Simulation Models Case Studies Notes Chapter 05: Drilling and Completion Optimization Exploration and Production Value Propositions Workflow One: Mitigation of Non-Productive Time Workflow Two: Drilling Parameter Optimization 5.5 Case Studies: Steam Assisted Gravity Drainage Completion Notes Chapter 06: Reservoir Management Exploration and Production Value Propositions Digital Oilfield of the Future Analytical Centers of Excellence Analytical Workflows: Best Practices Case Studies Notes Chapter 07: Production Forecasting Exploration and Production Value Propositions Web-Based Decline Curve Analysis Solution Unconventional Reserves Estimation Case Study: Oil Production Prediction for Infill Well Notes Chapter 08: Production Optimization Exploration and Production Value Propositions Case Studies Notes Chapter 09: Exploratory and Predictive Data Analysis Exploration and Production Value Propositions EDA Components EDA Statistical Graphs and Plots Ensemble Segmentations Data Visualization Case Studies Notes Chapter 10: Big Data: Structured and Unstructured Exploration and Production Value Propositions Hybrid Expert and Data Driven System Case Studies Multivariate Geostatistics Big Data Workflows Integration of Soft Computing Techniques Notes Glossary About the Author Index …”
Publicado 2014
Libro electrónico -
322Publicado 2016Tabla de Contenidos:Libro electrónico
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323
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324Publicado 2015“…Hone your analytic talents and become part of the next big thing Getting a Big Data Job For Dummies is the ultimate guide to landing a position in one of the fastest-growing fields in the modern economy. …”
Libro electrónico -
325Publicado 2023Materias: “…Big data…”
Libro electrónico -
326Publicado 2016Tabla de Contenidos: “…Developing a culture of openness and data sharing; 1 The Big Data Revolution; 1.1. Understanding the Big Data universe; 1.2. …”
Libro electrónico -
327Publicado 2015Tabla de Contenidos: “…Front Cover; Entity Information Life Cycle for Big Data; Copyright; Contents; Foreword; Preface; THE CHANGING LANDSCAPE OF INFORMATION QUALITY; MOTIVATION FOR THIS BOOK; AUDIENCE; ORGANIZATION OF THE MATERIAL; Acknowledgements; Chapter 1 - The Value Proposition for MDM and Big Data; DEFINITION AND COMPONENTS OF MDM; THE BUSINESS CASE FOR MDM; DIMENSIONS OF MDM; THE CHALLENGE OF BIG DATA; MDM AND BIG DATA - THE N-SQUARED PROBLEM; CONCLUDING REMARKS; Chapter 2 - Entity Identity Information and the CSRUD Life Cycle Model; ENTITIES AND ENTITY REFERENCES; MANAGING ENTITY IDENTITY INFORMATION…”
Libro electrónico -
328por Gollapudi, SunilaTabla de Contenidos: “…Intro -- Getting Started with Greenplum for Big Data Analytics -- Table of Contents -- Getting Started with Greenplum for Big Data Analytics -- Credits -- Foreword -- About the Author -- Acknowledgement -- About the Reviewers -- www.PacktPub.com -- Support files, eBooks, discount offers and more -- Why Subscribe? …”
Publicado 2013
Libro electrónico -
329
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330
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331
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332Publicado 2017Materias:Vídeo online
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333Publicado 2011“…This tutorial will explain the theory of MapReduce and how to develop big data applications in Java and higher level languages such as Pig and Hive SQL…”
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334Tabla de Contenidos: “…Big data introduction -- Big data application architecture -- Big data ingestion and streaming patterns -- Big data storage patterns -- Big data access patterns -- Data discovery and analysis patterns -- Big data visualization patterns -- Big data deployment patterns -- Big data NFRs -- Big data case studies -- Resources, references, and tools…”
Libro electrónico -
335Publicado 2022Tabla de Contenidos: “…Introduction -- Part I: Novel Big Data and AI Technologies for Digital Finance -- A Reference Architecture for Big Data Systems and AI Applications in the Finance Sector -- Hybrid Transactional and Analytical Processing for Integrated Data Management in Digital Finance and FinTech Applications -- Semantic Interoperability Modelling for Digital Finance Applications -- Semantic Streaming for Digital Finance Applications -- Part II: Blockchain Technologies and Digital Currencies for Digital Finance Applications -- Central Bank Digital Currencies and a Euro for the Future -- Efficient and Accelerated KYC Using Blockchain Technologies -- Part III: Applications of Big Data and AI in Digital Finance -- AI-based platform for Intelligent and Automated Accounting -- Addressing Intra-Day Volatility in Risk Assessments for Forex Trading -- Next-Generation Personalized Investment Recommendations -- Personalized Finance Management for Small Medium Businesses -- AML/CF supervision empowered by AI -- Analyzing Large Scale Blockchain Transaction Graphs for Fraudulent Activities -- Cybersecurity and Fraud Detection in Financial Transactions -- Part IV: Applications of Big Data and AI in Insurance -- Risk assessment for personalized health insurance products -- Alternative Data for Personalized Insurance products -- Part V: Technologies for Regulatory Compliance in the Finance Sector -- AI Governance -Trustworthy and Responsible use of AI -- Large Scale Data Anonymization for GDPR Compliance -- Conclusion…”
Libro electrónico -
336Publicado 2023Libro electrónico
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337Publicado 2022Tabla de Contenidos: “…8.2.1 Innovative Digital Ideas for Conservation of Cultural Heritage -- 8.2.2 Innovative Digital Ideas for Management of Cultural Heritage -- 8.2.3 Innovative Digital Ideas for Interpretation of Cultural Heritage -- 8.3 Importance of Digital Ideas for Cultural Heritage -- 8.4 Positive Impacts of Digital Ideas Used in Cultural Heritage in the Tourism Industry -- 8.4.1 Positive Impacts for Cultural Travel Experiences of Tourists -- 8.4.2 Positive Impacts for Cultural Heritage Products -- 8.4.3 Positive Impacts for Destination Tourism Movements -- References -- 9 An Evaluation of Big Data Use for Fraud Detection in Hotel Enterprises -- 9.1 Introduction: Background and Driving Forces -- 9.2 Fraud -- 9.3 Big Data -- 9.3.1 Characteristics of Big Data -- 9.3.2 Strategic Impacts of Big Data -- 9.4 Big Data and Auditing -- 9.4.1 Big Data and Fraud -- 9.5 The Use of Big Data for Determining Fraud in Hotel Enterprises -- 9.6 Conclusion -- References -- 10 Digital Change for Sustainable Restaurant Systems -- 10.1 Introduction -- 10.2 The Concept of Sustainability -- 10.2.1 Sustainable Development -- 10.2.1.1 Environmental Sustainability -- 10.2.1.2 Social Sustainability -- 10.2.1.3 Economic Sustainability -- 10.2.2 The Significance of Sustainable Development in Terms of Countries and Regions -- 10.2.3 Corporate Sustainability -- 10.3 Sustainable Restaurant System -- 10.4 Environmental Impact of Restaurants -- 10.4.1 Direct Environmental Impacts -- 10.4.1.1 Energy Consumption -- 10.4.1.2 Water Consumption -- 10.4.1.3 Solid Waste Generation -- 10.4.1.4 Air Pollution -- 10.4.1.5 Technological Solutions to Reduce Direct Environmental Impacts of the Restaurant Businesses -- 10.4.2 Environmental Impacts for the Consumers -- 10.4.2.1 Technological Solutions to Reduce Environmental Impacts of the Restaurant Businesses for the Customers…”
Libro electrónico -
338
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339
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340