Database design and theory Books

Book SynopsisBy synthesizing scholarly work at the intersection of political ecology, digital geography, and science and technology studies, The Nature of Data analyzes how new digital technologies affect environments and their control.Trade Review"This book is a necessary piece to lay the groundwork for a political ecology of data and urge more research in this direction. . . . A welcome integration of digital social sciences, political ecology, critical GIS, and science and technology studies, and as such which will be of interest to scholars across these fields, but also to conservation practitioners. This collection of essays might also be useful as a methodological text for advanced graduate students."—Anne-Lise Boyer, H-Environment"Thanks to insights from ecomedia studies, environmental humanists are increasingly studying how the environment becomes digital and the digital becomes environmental. The Nature of Data ably contributes to this research."—Heather Houser, ISLE“Data may not grow on trees, but it increasingly shapes how humans know, govern, and struggle over forests—and indeed, much of the nonhuman world. The Nature of Data captures this moment empirically while advancing political ecology conceptually. An altogether stellar volume.”—Susanne Freidberg, author of Fresh: A Perishable History“In accelerating ways, environmental politics are data politics. This powerful book shows what this looks like in different settings and at different scales, persuasively calling for a new subfield focused on the political ecology of data. Extending from prior work on the delimitations and politics of environmental science, the collection draws out what environmental data can help us see, what it cuts out, and how environmental data production itself is both polluting and weighted by commercial interests.”—Kim Fortun, author of Advocacy after Bhopal: Environmentalism, Disaster, New Global Orders“This is an original, diverse, and scintillating collection. Researchers working on political ecology of conservation and conservation social science have not taken challenges of data justice or the political economy of data production seriously enough. We must—and this book shows us how and why.”—Dan Brockington, author of Celebrity Advocacy and International Development“As environments are reverse engineered to match the spreadsheets and management platforms in which they are tallied, the environmental politics of data control, organization, and proliferation will hugely influence ecologies and politics going forward. By putting that insight front and center, Goldstein and Nost assemble a sweeping set of essays that gaze into the sometimes-disturbing future of the planet.”—Paul Robbins, author of Political Ecology: A Critical Introduction“This volume contributes to the growing discourses around political ecological work on data and the infrastructures that sustain, produce, and exchange them. The volume is startling in both its depth and breadth of engagement with timely and important topics; it marks a significant contribution to a growing field.”—Jim Thatcher, author of Thinking Big Data in Geography: New Regimes, New Research“Throughout, the reader is plunged into the complexities of digital systems, the environments they monitor and conserve, and the limits to their governance and oversight across a variety of places and scales and sovereignties. What emerges is resolutely not an endorsement of further digitalization of nature but a recognition that digitalization is perhaps yet another set of processes in which nature is actively produced.”—Matthew W. Wilson, author of New Lines: Critical GIS and the Trouble of the MapTable of ContentsList of Illustrations List of Tables Introduction: Infrastructuring Environmental Data Jenny Goldstein and Eric Nost Part 1. Sensors, Servers, and Structures 1. Data’s Metropolis: The Physical Footprints of Data Circulation and Modern Finance Graham Pickren 2. An Emerging Satellite Ecosystem and the Changing Political Economy of Remote Sensing Luis F. Alvarez León 3. Smart Earth: Environmental Governance in a Wired World Karen Bakker and Max Ritts 4. Data, Colonialism, and the Transformation of Nature in the Pacific Northwest Anthony Levenda and Zbigniew Grabowski Part 2. Civic Science and Community-Driven Data 5. Environmental Sensing Infrastructures and Just Good Enough Data Jennifer Gabrys and Helen Pritchard 6. Collaborative Modeling as Sociotechnical Data Infrastructure in Rural Zimbabwe M. V. Eitzel, Jon Solera, K. B. Wilson, Abraham Mawere Ndlovu, Emmanuel Mhike Hove, Daniel Ndlovu, Abraham Changarara, Alice Ndlovu, Kleber Neves, Adnomore Chirindira, Oluwasola E. Omoju, Aaron C. Fisher, and André Veski 7. Citizen Scientists and Conservation in the Anthropocene: From Monitoring to Making Coral Irus Braverman 8. Data Infrastructures, Indigenous Knowledge, and Environmental Observing in the Arctic Noor Johnson, Colleen Strawhacker, and Peter Pulsifer 9. Digital Infrastructure and the Affective Nature of Value in Belize Patrick Gallagher 10. Infrastructuring Environmental Data Justice Dawn Walker, Eric Nost, Aaron Lemelin, Rebecca Lave, Lindsey Dillon, and Environmental Data and Governance Initiative (EDGI) Part 3. Governing Data, Infrastructuring Land and Resources 11. “A Poverty of Data”? Exporting the Digital Revolution to Farmers in the Global South Madeleine Fairbairn and Zenia Kish 12. Illicit Digital Environments: Monitoring and Surveilling Environmental Crime in Southeast Asia Hilary O. Faxon and Jenny Goldstein 13. Data Gaps: Penguin Science and Petrostate Formation in the Falkland Islands (Malvinas) James J. A. Blair 14. Data Structures, Indigenous Ontologies, and Hydropower in the U.S. Northwest Corrine Armistead 15. How Forest Became Data: The Remaking of Ground-Truth in Indonesia Cindy Lin Conclusion: Toward a Political Ecology of Data Rebecca Lave, Eric Nost, and Jenny Goldstein Source Acknowledgments Contributors Index

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Book SynopsisWhen we look at some of the most pressing issues in environmental politics today, it is hard to avoid data technologies. Big data, artificial intelligence, and data dashboards all promise “revolutionary” advances in the speed and scale at which governments, corporations, conservationists, and even individuals can respond to environmental challenges. By bringing together scholars from geography, anthropology, science and technology studies, and ecology, The Nature of Data explores how the digital realm is a significant site in which environmental politics are waged. This collection as a whole makes the argument that we cannot fully understand the current conjuncture in critical, global environmental politics without understanding the role of data platforms, devices, standards, and institutions. In particular, The Nature of Data addresses the contested practices of making and maintaining data infrastructure, the imaginaries produced by data infrastruTrade Review"This book is a necessary piece to lay the groundwork for a political ecology of data and urge more research in this direction. . . . A welcome integration of digital social sciences, political ecology, critical GIS, and science and technology studies, and as such which will be of interest to scholars across these fields, but also to conservation practitioners. This collection of essays might also be useful as a methodological text for advanced graduate students."—Anne-Lise Boyer, H-Environment"Thanks to insights from ecomedia studies, environmental humanists are increasingly studying how the environment becomes digital and the digital becomes environmental. The Nature of Data ably contributes to this research."—Heather Houser, ISLE“Data may not grow on trees, but it increasingly shapes how humans know, govern, and struggle over forests—and indeed, much of the nonhuman world. The Nature of Data captures this moment empirically while advancing political ecology conceptually. An altogether stellar volume.”—Susanne Freidberg, author of Fresh: A Perishable History“In accelerating ways, environmental politics are data politics. This powerful book shows what this looks like in different settings and at different scales, persuasively calling for a new subfield focused on the political ecology of data. Extending from prior work on the delimitations and politics of environmental science, the collection draws out what environmental data can help us see, what it cuts out, and how environmental data production itself is both polluting and weighted by commercial interests.”—Kim Fortun, author of Advocacy after Bhopal: Environmentalism, Disaster, New Global Orders“This is an original, diverse, and scintillating collection. Researchers working on political ecology of conservation and conservation social science have not taken challenges of data justice or the political economy of data production seriously enough. We must—and this book shows us how and why.”—Dan Brockington, author of Celebrity Advocacy and International Development“As environments are reverse engineered to match the spreadsheets and management platforms in which they are tallied, the environmental politics of data control, organization, and proliferation will hugely influence ecologies and politics going forward. By putting that insight front and center, Goldstein and Nost assemble a sweeping set of essays that gaze into the sometimes-disturbing future of the planet.”—Paul Robbins, author of Political Ecology: A Critical Introduction“This volume contributes to the growing discourses around political ecological work on data and the infrastructures that sustain, produce, and exchange them. The volume is startling in both its depth and breadth of engagement with timely and important topics; it marks a significant contribution to a growing field.”—Jim Thatcher, author of Thinking Big Data in Geography: New Regimes, New Research“Throughout, the reader is plunged into the complexities of digital systems, the environments they monitor and conserve, and the limits to their governance and oversight across a variety of places and scales and sovereignties. What emerges is resolutely not an endorsement of further digitalization of nature but a recognition that digitalization is perhaps yet another set of processes in which nature is actively produced.”—Matthew W. Wilson, author of New Lines: Critical GIS and the Trouble of the MapTable of ContentsList of Illustrations List of Tables Introduction: Infrastructuring Environmental Data Jenny Goldstein and Eric Nost Part 1. Sensors, Servers, and Structures 1. Data’s Metropolis: The Physical Footprints of Data Circulation and Modern Finance Graham Pickren 2. An Emerging Satellite Ecosystem and the Changing Political Economy of Remote Sensing Luis F. Alvarez León 3. Smart Earth: Environmental Governance in a Wired World Karen Bakker and Max Ritts 4. Data, Colonialism, and the Transformation of Nature in the Pacific Northwest Anthony Levenda and Zbigniew Grabowski Part 2. Civic Science and Community-Driven Data 5. Environmental Sensing Infrastructures and Just Good Enough Data Jennifer Gabrys and Helen Pritchard 6. Collaborative Modeling as Sociotechnical Data Infrastructure in Rural Zimbabwe M. V. Eitzel, Jon Solera, K. B. Wilson, Abraham Mawere Ndlovu, Emmanuel Mhike Hove, Daniel Ndlovu, Abraham Changarara, Alice Ndlovu, Kleber Neves, Adnomore Chirindira, Oluwasola E. Omoju, Aaron C. Fisher, and André Veski 7. Citizen Scientists and Conservation in the Anthropocene: From Monitoring to Making Coral Irus Braverman 8. Data Infrastructures, Indigenous Knowledge, and Environmental Observing in the Arctic Noor Johnson, Colleen Strawhacker, and Peter Pulsifer 9. Digital Infrastructure and the Affective Nature of Value in Belize Patrick Gallagher 10. Infrastructuring Environmental Data Justice Dawn Walker, Eric Nost, Aaron Lemelin, Rebecca Lave, Lindsey Dillon, and Environmental Data and Governance Initiative (EDGI) Part 3. Governing Data, Infrastructuring Land and Resources 11. “A Poverty of Data”? Exporting the Digital Revolution to Farmers in the Global South Madeleine Fairbairn and Zenia Kish 12. Illicit Digital Environments: Monitoring and Surveilling Environmental Crime in Southeast Asia Hilary O. Faxon and Jenny Goldstein 13. Data Gaps: Penguin Science and Petrostate Formation in the Falkland Islands (Malvinas) James J. A. Blair 14. Data Structures, Indigenous Ontologies, and Hydropower in the U.S. Northwest Corrine Armistead 15. How Forest Became Data: The Remaking of Ground-Truth in Indonesia Cindy Lin Conclusion: Toward a Political Ecology of Data Rebecca Lave, Eric Nost, and Jenny Goldstein Source Acknowledgments Contributors Index

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Book SynopsisBig data involves the use of sophisticated analytics to make decisions based on large-scale data inputs. It is set to transform agriculture, environmental protection and healthcare in developing countries. This book critically evaluates the developing big data industry and market in these countries and gives an overview of the determinants, performance and impacts. It provides a detailed analysis of technology creation, technology infrastructures and human skills required to utilize big data while discussing novel applications and business models that make use of it to overcome healthcare barriers. The book also offers an analysis of big data's potential to improve environmental monitoring and protection where it is likely to have far-reaching and profound impacts on the agricultural sector. A key question addressed is how gains in agricultural productivity associated with big data will benefit smallholder farmers relative to global multinationals in that sector. The book also probes big data's roles in the creation of markets that can improve the welfare of smallholder farmers. Special consideration is given to big data-led transformation of the financial industry and discusses how the transformation can increase small-holder farmers' access to finance by changing the way lenders assess creditworthiness of potential borrowers. It also takes a look at data privacy and security issues facing smallholder farmers and reviews differences in such issues in industrialized and developing countries. The key ideas, concepts and theories presented are explored, illustrated and contrasted through in-depth case studies of developing world-based big data companies, and deployment and utilization of big data in agriculture, environmental protection and healthcare.Table of ContentsChapter 1: Big Data in Developing Countries: Current Status, Opportunities and Challenges Chapter 2: Big Data Ecosystem in Developing Countries Chapter 3: Big Data in Environmental Protection and Resources Conservation Chapter 4: Big Data in Healthcare Delivery and Outcomes Chapter 5: Big Data in Agriculture Chapter 6: Big Data’s Roles in Increasing Smallholder Farmers’ Access to Finance Chapter 7: Data Privacy and Security Issues Facing Smallholder Farmers and Poor Communities in Developing Countries Chapter 8: Lessons Learned, Implications and the Way Forward

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Book SynopsisA pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for). Today’s decision making can be reached via information (related to the data), knowledge (related to people and processes), and timing (the capacity to decide, act and react at the right time). The huge increase in volume of data traffic, and its format (unstructured data such as blogs, logs, and video) generated by the “digitalization” of our world modifies radically our relationship to the space (in motion) and time, dimension and by capillarity, the enterprise vision of performance monitoring and optimization.Table of ContentsPREFACE ix LIST OF FIGURES AND TABLES xiii INTRODUCTION xv CHAPTER 1. WHAT IS BIG DATA? 1 1.1. The four “V”s characterizing Big Data 3 1.1.1. V for “Volume” 3 1.1.2. V for “Variety” 4 1.1.3. V for “Velocity” 8 1.1.4. V for “Value”, associated with Smart Data 9 1.2. The technology that supports Big Data 10 CHAPTER 2. WHAT IS SMART DATA? 13 2.1. How can we define it? 13 2.1.1. More formal integration into business processes 13 2.1.2. A stronger relationship with transaction solutions 14 2.1.3. The mobility and the temporality of information 15 2.2. The structural dimension 17 2.2.1. The objectives of a BICC 17 2.3. The closed loop between Big Data and Smart Data 18 CHAPTER 3. ZERO LATENCY ORGANIZATION 21 3.1. From Big Data to Smart Data for a zero latency organization 21 3.2. Three types of latency 21 3.2.1. Latency linked to data 21 3.2.2. Latency linked to analytical processes 22 3.2.3. Latency linked to decisionmaking processes 23 3.2.4. Action latency 23 CHAPTER 4. SUMMARY BY EXAMPLE 25 4.1. Example 1: date/product/price recommendation 26 4.1.1. Steps “1” and “2” 28 4.1.2. Steps “3” and “4”: enter the world of “Smart Data” 29 4.1.3. Step “5”: the presentation phase 29 4.1.4. Step “6”: the “Holy Grail” (the purchase) 30 4.1.5. Step “7”: Smart Data 30 4.2. Example 2: yield/revenue management (rate controls) 31 4.2.1. How it works: an explanation based on the Tetris principle (see Figure 4.4) 35 4.3. Example 3: optimization of operational performance 38 4.3.1. General department (top management) 42 4.3.2. Operations departments (middle management) 42 4.3.3. Operations management (and operational players) 43 CONCLUSION 47 BIBLIOGRAPHY 51 GLOSSARY 53 INDEX 57

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Book SynopsisOver the past fifty years, preservation policy has evolved very little, despite escalating accusations that landmarking and historic districting can inhibit affordable housing, economic development, and socioeconomic diversity. The potential to understand these dynamics and effect positive change is hindered by a lack of data and evidence-based research to better understand these impacts. One of the biggest barriers to preservation research has been the lack of data sets that can be used for geospatial, evidence-based, and longitudinal analyses.This first book in the series Issues in Preservation Policy explores the ways that enhancing the collection, accuracy, and management of data can serve a critical role in identifying vulnerable neighborhoods, understanding the role of older buildings in economic vitality and community resilience, planning sustainable growth, and more. For preservation to play a dynamic role in sustainable development and social inclusion, policy must evolve beyond designation and design regulation and use evidence-based research to confront new realities in the management of urban environments and their communities.

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Book SynopsisStatt der üblichen theoretischen Zugangs vermittelt dieses Lehrbuch Algorithmen und Datenstrukturen durch die Geschichte einer jungen Informatikerin. Der Stoff einer traditionellen Einführungsveranstaltung Informatik wird so ausgehend von der praktischen Anwendung lebendig und mit viel Spaß vermittelt. So schlägt das Buch eine Brücke von Alltagserfahrungen zu den Konzepten von Datenstrukturen und Algorithmen. Table of ContentsEin Anwendungsbeispiel - Machbarkeit und Effizienz - Einfache Ansätze - Verbesserung durch mehr Struktur - Gierige Algorithmen - Kleinster Schaden im Worst-Case - Teile und Beherrsche - Dynamisches Programmieren - Direkter Zugriff - Prioritätswarteschlangen - Extern gespeicherte Daten - Selbstorganisation - Zusammenfassung

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisData analysis expressions (DAX) is the formula language of Power Pivot. Learning the DAX language is key to empower Excel users so they can take advantage of these new Business Intelligence (BI) capabilities. This volume clearly explains the concepts of Power Pivot while at the same time offering hands-on practice to engage the reader and help new knowledge stick. This second edition has been updated for the Excel 2016 user interface while still providing a bridge for readers wanting to learn DAX in the Excel environment and then transfer their new DAX skills across to Power BI.

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