Moving Data

The iPhone has revolutionized not only how people communicate but also how we consume and produce culture. Combining traditional and social media with mobile connectivity, smartphones have redefined a

Presents a collection of essays that explore the implications that iPhones and other smartphones have on society, technology, media, and culture.

Privacy as Virtue discusses whether a rights-based approach to privacy regulation still suffices to address the challenges triggered by new data processing techniques, such as Big Data and mass survei

Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality. Since the publication of the first edition, there have been critical new developments in the field, such as integrating Data Stewardship into project management, handling Data Stewardship in large international companies, handling "big data" and Data Lakes, and a pivot in the overall thinking around the best way to align data stewardship to the data-moving from business/organizational function to data domain. Furthermore, the role of process in data stewardship is now recognized as key and needed to be covered.Data Stewardship, Second Edition provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on organizational/company structure, business functions, and data ownership. The book shows data managers how to gain support for a stewards

The world is moving towards universal connectivity at a dizzying rate: thanks to the internet, there will be new ways to connect, converse, transact and experience the world that we cannot imagine tod

Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need

Applications, 2nd Edition focuses on moving object management, from the location management perspective to determining how constantly changing locations affect the traditional database and data mining

Declarative query interfaces to Sensor Networks (SN) have become a commodity. These interfaces allow access to SN deployed for collecting data using relational queries. However, SN are not confined to

Many practical applications require the reconstruction of a multivariate function from discrete, unstructured data. This book gives a self-contained, complete introduction into this subject. It concentrates on truly meshless methods such as radial basis functions, moving least squares, and partitions of unity. The book starts with an overview on typical applications of scattered data approximation, coming from surface reconstruction, fluid-structure interaction, and the numerical solution of partial differential equations. It then leads the reader from basic properties to the current state of research, addressing all important issues, such as existence, uniqueness, approximation properties, numerical stability, and efficient implementation. Each chapter ends with a section giving information on the historical background and hints for further reading. Complete proofs are included, making this perfectly suited for graduate courses on multivariate approximation and it can be used to suppo

Based on rich interview data drawn from a large scale longitudinal study of homeless young people, this book examines the personal, familial and structural factors that impact on homeless young people

Many practical applications require the reconstruction of a multivariate function from discrete, unstructured data. This book gives a self-contained, complete introduction into this subject. It concentrates on truly meshless methods such as radial basis functions, moving least squares, and partitions of unity. The book starts with an overview on typical applications of scattered data approximation, coming from surface reconstruction, fluid-structure interaction, and the numerical solution of partial differential equations. It then leads the reader from basic properties to the current state of research, addressing all important issues, such as existence, uniqueness, approximation properties, numerical stability, and efficient implementation. Each chapter ends with a section giving information on the historical background and hints for further reading. Complete proofs are included, making this perfectly suited for graduate courses on multivariate approximation and it can be used to suppo

This book describes how smart cities can be designed with data at their heart, moving from a broad vision to a consistent city-wide collaborative configuration of activities. The authors present a com

"Moving can be a big deal for anyone. But, immigrants to the United States really went the distance. Why did they decide to come? How did they travel? What happened when they arrived? Data is in the d

A brand new textbook with an innovative and exciting approach to marketing strategy. Moving away from the outdated 4Ps model to a new approach that reflects real-world companies responding to a differ

Your go-to resource for moving traditional relational databases into Hive, a Hadoop-based data warehousing product. Author Scott Shaw, an eminent big data expert, takes you through learning HiveQL, th

Professional Spark addresses the challenges in moving from proof-of-concept or demo Spark applications to live Spark in production. It covers:Cluster Managers Performance Tuning Security Lifecycle of

Mobile Data Management and Applications brings together in one place important contributions and up-to-date research results in this fast moving area. Mobile Data Management and Applications serves as

Bridging the gap between introductory theory and practical knowledge, this second edition reflects the fast-moving field of DNA microarrays by adding new and updated chapters that cover cutting-edge m

As each generation of portable electronic devices and storage media becomes smaller, higher in capacity, and easier to transport, it's becoming increasingly difficult to protect the data on these dev

First published in 1986, this book explores the areas of income distribution and welfare. Analyzing Redistribution Policies developed appropriate techniques to analyze the extent and nature of income inequality and welfare and to measure the direct impact of taxes and government cash transfers on the distribution of income by size of income and other household characteristics. What was the extent of inequality of income and which way was it moving? Was the burden of taxation evenly distributed across the population? Did the rich pay proportionately more or less taxes than the poor? What were the effects of government programs on the welfare of particular groups in the community? An attempt was made to answer these and other related questions by an analysis of the Australian data obtained from the 1975–1976 Household Expenditure Survey. Written in a fairly nontechnical manner, Analyzing Redistribution Policies can be understood with limited knowledge of economics and statistics.

This text is the fourth and final volume reporting on the World Bank's Moving Out of Poverty study, which was based on quantitative and qualitative data about poor people's economic mobility in 500 co

Spatio-temporal databases have been the subjects of a significant amount of academic and industrial research, resulting in advances including modeling, indexing and moving of objects and spatio-tempor

The new edition of this important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving and important area of biosta

This book provides a significant contribution to the increasing conversation concerning the place of big data in education. Offering a multidisciplinary approach with a diversity of perspectives from international scholars and industry experts, chapter authors engage in both research- and industry-informed discussions and analyses on the place of big data in education, particularly as it pertains to large-scale and ongoing assessment practices moving into the digital space. This volume offers an innovative, practical, and international view of the future of current opportunities and challenges in education and the place of assessment in this context.

Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure.Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value.

How is qualitative data actually collected, analyzed, and accomplished? How Qualitative Data Analysis Happens: Moving Beyond "Themes Emerged" offers an in-depth look into how qualitative social scienc

How is qualitative data actually collected, analyzed, and accomplished? How Qualitative Data Analysis Happens: Moving Beyond "Themes Emerged" offers an in-depth look into how qualitative social scienc

This book helps leaders to think/act like a strategist in the fast-moving age of big data, algorithms, and analytics. It provides competitive advantage along new pathways: First, leading a successful

Information doesn't just provide a window on the business, increasingly it is the business. The global economy is moving from products to services which are described almost entirely electronically. E