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1. |
Record Nr. |
UNINA9910554279503321 |
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Autore |
Ghavami Peter K. |
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Titolo |
Big data management : data governance principles for big data analytics / / Peter Ghavami |
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Pubbl/distr/stampa |
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Berlin ; ; Boston : , : De Gruyter, , [2021] |
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©2021 |
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ISBN |
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Descrizione fisica |
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1 online resource (xviii, 155 pages) |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Frontmatter -- Acknowledgments -- About the Author -- Contents -- Introduction -- Part 1: Big Data Overview -- Chapter 1 Introduction to Big Data -- Chapter 2 Enterprise Data Governance Directive -- Part 2: Big Data Governance Fundamentals -- Chapter 3 Data Risk Management -- Chapter 4 NoSQL Storage and Security Considerations -- Chapter 5 The Key Components of Big Data Governance -- Chapter 6 Big Data Governance Framework -- Chapter 7 Master Data Management -- Chapter 8 Big Data Governance Rules: Best Practices -- Chapter 9 Big Data Governance Best Practices -- Chapter 10 Big Data Governance Framework Program -- Part 3: Big Data and Model Risk Management -- Chapter 11 Why Data and Model Risk Management? -- Summary -- Index |
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Sommario/riassunto |
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Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world's leading organizations that have successfully implemented big data platforms. |
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The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations. |
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2. |
Record Nr. |
UNINA9910792275003321 |
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Autore |
Chown Steven |
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Titolo |
Insect physiological ecology [[electronic resource] ] : mechanisms and patterns / / Steven L. Chown, Sue W. Nicolson |
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Pubbl/distr/stampa |
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Oxford, : Oxford University Press, 2004 |
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ISBN |
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1-280-75388-9 |
1-4294-2175-4 |
0-19-152334-8 |
9786610753888 |
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Descrizione fisica |
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1 online resource (254 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Insects - Ecophysiology |
Insects - Ecology |
Insects - Physiology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Contents; 1 Introduction; 1.1 Physiological variation; 1.2 How much variation?; 1.3 Diversity at large scales: macrophysiology; 1.4 Growing integration; 1.5 This book; 2 Nutritional physiology and ecology; 2.1 Method and measurement; 2.1.1 Artificial diets; 2.1.2 Indices of food conversion efficiency; 2.1.3 Use of a geometric framework; 2.2 Physiological aspects of feeding behaviour; 2.2.1 Optimal feeding in caterpillars; 2.2.2 Regulation of meal size: volumetric or nutritional feedback; 2.2.3 Regulation of protein and carbohydrate intake; 2.3 Digestion and absorption of nutrients |
2.3.1 Digestive enzymes and the organization of digestion2.3.2 Gut |
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physicochemistry of caterpillars; 2.3.3 Absorption of nutrients; 2.4 Overcoming problems with plant feeding; 2.4.1 Cellulose digestion: endogenous or microbial?; 2.4.2 Nitrogen as a limiting nutrient; 2.4.3 Secondary plant compounds; 2.5 Growth, development, and life history; 2.5.1 Development time versus body size; 2.5.2 Developmental trade-offs between body parts; 2.6 Temperature and growth; 2.6.1 Thermal effects on feeding and growth; 2.6.2 Interactions with food quality; 3 Metabolism and gas exchange |
3.1 Method and measurement3.2 Metabolism; 3.2.1 Aerobic pathways; 3.2.2 Anaerobic pathways and environmental hypoxia; 3.3 Gas exchange structures and principles; 3.3.1 Gas exchange and transport in insects; 3.3.2 Gas exchange principles; 3.4 Gas exchange and metabolic rate at rest; 3.4.1 Gas exchange patterns; 3.4.2 Discontinuous gas exchange cycles; 3.4.3 Variation in discontinuous gas exchange cycles; 3.4.4 Origin and adaptive value of the DGC; 3.4.5 Metabolic rate variation: size; 3.4.6 Metabolic rate variation: temperature and water availability |
3.5 Gas exchange and metabolic rate during activity3.5.1 Flight; 3.5.2 Crawling, running, carrying; 3.5.3 Feeding; 3.6 Metabolic rate and ecology; 4 Water balance physiology; 4.1 Water loss; 4.1.1 Cuticle; 4.1.2 Respiration; 4.1.3 Excretion; 4.2 Water gain; 4.2.1 Food; 4.2.2 Drinking; 4.2.3 Metabolism; 4.2.4 Water vapour absorption; 4.3 Osmoregulation; 4.3.1 Haemolymph composition; 4.3.2 Responses to osmotic stress; 4.3.3 Salt intake; 4.4 Desiccation resistance; 4.4.1 Microclimates; 4.4.2 Group effects; 4.4.3 Dormancy, size, and phylogeny |
4.5 The evidence for adaptation: Drosophila as a model5 Lethal temperature limits; 5.1 Method and measurement; 5.1.1 Rates of change; 5.1.2 Measures of thermal stress; 5.1.3 Exposure and recovery time; 5.2 Heat shock, cold shock, and rapid hardening; 5.2.1 Acclimation; 5.2.2 Heat shock; 5.2.3 Cold shock; 5.2.4 Relationships between heat and cold shock responses; 5.3 Programmed responses to cold; 5.3.1 Cold hardiness classifications; 5.3.2 Freeze intolerance; 5.3.3 Cryoprotective dehydration; 5.3.4 Freezing tolerance; 5.4 Large-scale patterns |
5.4.1 Cold tolerance strategies: phylogeny, geography, benefits |
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Sommario/riassunto |
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Insects exhibit incredible physiological diversity, making them ideal model organisms for the purpose of this book. The authors draw together the central issues in physiology (nutrition, water balance, temperature, etc.) treating each in sufficient detail to give researchers a broad update in summary form. |
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