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Author: Timothy Dunne Publisher: University of Chicago Press ISBN: 0226172570 Category : Business & Economics Languages : en Pages : 623
Book Description
The Census Bureau has recently begun releasing official statistics that measure the movements of firms in and out of business and workers in and out of jobs. The economic analyses in Producer Dynamics exploit this newly available data on establishments, firms, and workers, to address issues in industrial organization, labor, growth, macroeconomics, and international trade. This innovative volume brings together a group of renowned economists to probe topics such as firm dynamics across countries; patterns of employment dynamics; firm dynamics in nonmanufacturing industries such as retail, health services, and agriculture; employer-employee turnover from matched worker/firm data sets; and turnover in international markets. Producer Dynamics will serve as an invaluable reference to economists and policy makers seeking to understand the links between firms and workers, and the sources of economic dynamics, in the age of globalization.
Author: Timothy Dunne Publisher: University of Chicago Press ISBN: 0226172570 Category : Business & Economics Languages : en Pages : 623
Book Description
The Census Bureau has recently begun releasing official statistics that measure the movements of firms in and out of business and workers in and out of jobs. The economic analyses in Producer Dynamics exploit this newly available data on establishments, firms, and workers, to address issues in industrial organization, labor, growth, macroeconomics, and international trade. This innovative volume brings together a group of renowned economists to probe topics such as firm dynamics across countries; patterns of employment dynamics; firm dynamics in nonmanufacturing industries such as retail, health services, and agriculture; employer-employee turnover from matched worker/firm data sets; and turnover in international markets. Producer Dynamics will serve as an invaluable reference to economists and policy makers seeking to understand the links between firms and workers, and the sources of economic dynamics, in the age of globalization.
Author: Charles Nehme Publisher: Charles Nehme ISBN: Category : Computers Languages : en Pages : 136
Book Description
Purpose of the Book In today's digital age, data centers are the backbone of virtually every industry, from finance and healthcare to entertainment and retail. This book, "The Modern Data Center: A Comprehensive Guide," aims to provide a thorough understanding of the complexities and innovations that define contemporary data centers. Whether you are an IT professional, a data center manager, or a technology enthusiast, this guide is designed to equip you with the knowledge necessary to navigate and excel in the ever-evolving landscape of data centers. The Evolution and Significance of Modern Data Centers Data centers have come a long way since the early days of computing. What began as simple server rooms has evolved into sophisticated, multi-layered environments that support a wide range of applications and services critical to modern business operations. The significance of data centers cannot be overstated—they are integral to the functioning of the internet, cloud services, and the digital infrastructure that supports our daily lives. Target Audience This book is tailored for a diverse audience: IT Professionals: Gain in-depth knowledge of the latest technologies and best practices in data center design, management, and operations. Data Center Managers: Discover strategies for optimizing performance, enhancing security, and ensuring compliance. Technology Enthusiasts: Understand the foundational concepts and future trends shaping the data center industry. Structure of the Book "The Modern Data Center: A Comprehensive Guide" is divided into five parts, each focusing on a different aspect of data centers: Foundations of Data Centers: Covers the historical evolution, core components, and architectural frameworks. Design and Planning: Discusses site selection, design principles, and capacity planning. Technologies and Trends: Explores virtualization, cloud computing, automation, and networking innovations. Operations and Management: Details day-to-day operations, monitoring, security, and compliance. Future Directions: Looks at emerging technologies, sustainability, and future trends in data center development. Key Topics Covered Historical Context: Learn about the origins and development of data centers. Core Components: Understand the essential elements that make up a data center. Modern Architectures: Explore traditional and cutting-edge data center architectures. Design and Efficiency: Discover best practices for designing scalable and sustainable data centers. Operational Excellence: Gain insights into effective data center management and operations. Technological Innovations: Stay updated on the latest trends and technologies transforming data centers. Future Insights: Prepare for the future with predictions and expert insights into the next generation of data centers. Our Journey Together As we embark on this journey through the world of modern data centers, you will gain a comprehensive understanding of how these critical infrastructures operate, evolve, and shape the future of technology. Each chapter builds on the last, providing a layered approach to learning that ensures you have a well-rounded grasp of both the theoretical and practical aspects of data centers. Thank you for choosing "The Modern Data Center: A Comprehensive Guide." Let’s dive into the intricate and fascinating world of data centers, where technology, innovation, and strategic planning converge to power the digital age.
Author: Katharine G. Abraham Publisher: University of Chicago Press ISBN: 022680125X Category : Business & Economics Languages : en Pages : 502
Book Description
Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.
Author: Hugh Taylor Publisher: Business Expert Press ISBN: 1637425015 Category : Computers Languages : en Pages : 178
Book Description
5G and related digital revolutions will require tens of thousands of edge data centers. This book tells you how they work and how to get them built. We are in the middle of the edge computing revolution. Responding to demand for lower latency, telcos and others are moving servers and storage closer to end users—away from the “core” to “the edge.” This requires the deployment of many thousands of tiny edge data centers. The edge is a big, growing business. Driven by 5G, connected vehicles, and industrial automation, the “edge economy” is projected to reach $4.1 trillion by 2030, with investment in edge data centers set to exceed $140 billion by 2028. What exactly is an edge data center? This book explains what they are and how they work. It’s early in the edge computing life cycle, so there’s time to get prepared for what’s coming. If you work in an industry that’s transforming through mobility, or any field that will leverage the edge for competitive advantage, this book will help you understand how the edge data center advances your strategic agenda.
Author: Matthias Templ Publisher: Springer ISBN: 3319502727 Category : Social Science Languages : en Pages : 299
Book Description
This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results. The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the da ta before release. This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences.
Author: German Data Forum Publisher: Verlag Barbara Budrich ISBN: 3863882814 Category : Social Science Languages : en Pages : 1237
Book Description
This publication provides a comprehensive compendium of the current state of Germany’s research infrastructure in the social, economic, and behavioural sciences. In addition, the book presents detailed discussions of the current needs of empirical researchers in these fields as well as of opportunities for future development. The importance of solid data for both public policy and the social and economic sciences is obvious. Today, empirical research is essential in finding solutions to many of the major challenges our society faces, such as environmental change, turbulent financial markets, and population growth. Based on 68 advisory reports by more than 100 internationally recognised authors from a wide range of fields, the book provides recommendations by the German Data Forum (RatSWD) on how to improve the research infrastructure so as to create conditions ideal for making Germany’s social, economic, and behavioural sciences more innovative and internationally competitive.
Author: Caesar Wu Publisher: Morgan Kaufmann ISBN: 0128016884 Category : Computers Languages : en Pages : 848
Book Description
Cloud Data Centers and Cost Modeling establishes a framework for strategic decision-makers to facilitate the development of cloud data centers. Just as building a house requires a clear understanding of the blueprints, architecture, and costs of the project; building a cloud-based data center requires similar knowledge. The authors take a theoretical and practical approach, starting with the key questions to help uncover needs and clarify project scope. They then demonstrate probability tools to test and support decisions, and provide processes that resolve key issues. After laying a foundation of cloud concepts and definitions, the book addresses data center creation, infrastructure development, cost modeling, and simulations in decision-making, each part building on the previous. In this way the authors bridge technology, management, and infrastructure as a service, in one complete guide to data centers that facilitates educated decision making. - Explains how to balance cloud computing functionality with data center efficiency - Covers key requirements for power management, cooling, server planning, virtualization, and storage management - Describes advanced methods for modeling cloud computing cost including Real Option Theory and Monte Carlo Simulations - Blends theoretical and practical discussions with insights for developers, consultants, and analysts considering data center development
Author: Xiaofei Wang Publisher: Springer Nature ISBN: 9811561869 Category : Computers Languages : en Pages : 156
Book Description
As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.
Author: Timothy Dunne
Author: Timothy Dunne
Author: Charles Nehme
Author: Katharine G. Abraham
Author: Hugh Taylor
Author: Matthias Templ
Author: 
Author: German Data Forum
Author: Caesar Wu
Author: 
Author: Xiaofei Wang