Introduction to Big Data Engineering Minitrack

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Introduction to Big Earth Data Applications

Climate and weather modeling generate enormous volumes that make iterative analysis challenging, spurring the development of new ways to work with the data. A theme going across applications is the need to identify and highlight "interesting" data for the scientist to focus on. Operational applications often scale up from small, local studies to larger spatial scales with more analysis targets

Aquarization: an introduction to the Big Data society

Este artigo abre um caminho para a análise das consequências sociais que advêm das utilizações de Big Data. Os mecanismos e as estratégias de extração, análise e utilização dos dados dos indivíduos convergem numa nova arquitetura e mecanismo de poder que se diagramou num Aquário. O dispositivo desta nova figura de tecnologia política e económica é transparente, automatizado e antecipatório. A tendência é clara, cada vez mais, serviços públicos e privados estão a ser aquarizados.This article opens a way to an analysis of the social consequences of Big Data uses. The mechanisms and strategies for extracting, analyzing and using data from individuals converge in a new architecture and mechanism of power that is diagrammed in an Aquarium. The device of this new figure of political and economic technology is transparent, automated and anticipatory. The trend is clear, more and more public and private services are being aquarized.info:eu-repo/semantics/publishedVersio

Big Data Ethics in Research

The main problems faced by scientists in working with Big Data sets, highlighting the main ethical issues, taking into account the legislation of the European Union. After a brief Introduction to Big Data, the Technology section presents specific research applications. There is an approach to the main philosophical issues in Philosophical Aspects, and Legal Aspects with specific ethical issues in the EU Regulation on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (Data Protection Directive - General Data Protection Regulation, "GDPR"). The Ethics Issues section details the specific aspects of Big Data. After a brief section of Big Data Research, I finalize my work with the presentation of Conclusions on research ethics in working with Big Data. CONTENTS: Abstract 1. Introduction - 1.1 Definitions - 1.2 Big Data dimensions 2. Technology - 2.1 Applications - - 2.1.1 In research 3. Philosophical aspects 4. Legal aspects - 4.1 GDPR - - Stages of processing of personal data - - Principles of data processing - - Privacy policy and transparency - - Purposes of data processing - - Design and implicit confidentiality - - The (legal) paradox of Big Data 5. Ethical issues - Ethics in research - Awareness - Consent - Control - Transparency - Trust - Ownership - Surveillance and security - Digital identity - Tailored reality - De-identification - Digital inequality - Privacy 6. Big Data research Conclusions Bibliography DOI: 10.13140/RG.2.2.11054.4640

Introduction to Analysis Methods for Big Earth Data

Big Earth Data are too big to be tractable to simple data inspection and require models to make sense of all the data. Useful models for Big Earth Data may be physical, statistical, or machine learning based. In many cases, hybrid models combine attributes of two or more of these types