Data Management Data Data Everywhere

This book features the refereed proceedings from the 24th British National Conference on Databases, held in Glasgow, Scotland in July 2007. The eighteen full papers and seven poster papers are presented, together with two invited contributions. Papers are organized into topical sections covering data applications, searching XML documents, querying XML documents, XML transformation, clustering and security, data mining, and extraction.

Hospitals, doctors' offices, and pharmacies are sitting on some very valuable information - your medical information. As health-care providers enter the digital world and computerize their patients' records in an effort to improve the efficiency and quality of care, they are also building a valuable health research tool. The files in their databases may contain the answers to many medical questions we currently face, but they also contain private information that could potentially be misused.Data Data Everywherehighlights the challenges that lie ahead and proposes a framework for striking a balance between the benefits of allowing researchers to access medical information and the privacy concerns of individuals. In addition to contributing towards a sustainable model for secondary use of data in health research, the book also contributes significantly to research in this field and serves as an essential comparative reference for similar jurisdictions.Contributorsinclude Wendy Armstrong (Consumers' Association of Canada, Alberta), Penny Ballem (Consultant), David Henry (Institute for Clinical Evaluative Sciences), Alan Katz (Manitoba Centre for Health Policy), Pat Kosseim (Genome Canada), Shoo Lee (Mount Sinai Hospital, Toronto), Steven Lewis (Consultant), Lisa Lix (University of Saskatchewan), William Lowrance (Consultant), Pat Martens (Manitoba Centre for Health Policy), Dale McMurchy (Consultant), Andrew F. Nelson (Health Partners Research Foundation), Robert Ouellet (Canadian Medical Association), Dorothy Pringle (University of Toronto), Robert J. Reid (Group Health Centre for Health Studies), Valerie Steeves (University of Ottawa), Terry Sullivan (Cancer Care Ontario), Simon Sutcliffe (British Columbia Cancer Agency), Robyn Tamblyn (McGill University), Jack Tu (Institute for Clinical Evaluative Studies), Don Willison (McMaster University), Michael Wolfson (Statistics Canada), and Glenda Yeates (Canadian Institute for Health Information).

The latest book from best-selling author Victoria L. Bernhardt is an easy-to-read primer that describes what it takes to achieve student learning growth at every grade level, in every subject area, and with every student group.

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. 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.

How to build and maintain strong data organizations—the Dummies way Data Governance For Dummies offers an accessible first step for decision makers into understanding how data governance works and how to apply it to an organization in a way that improves results and doesn't disrupt. Prep your organization to handle the data explosion (if you know, you know) and learn how to manage this valuable asset. Take full control of your organization’s data with all the info and how-tos you need. This book walks you through making accurate data readily available and maintaining it in a secure environment. It serves as your step-by-step guide to extracting every ounce of value from your data. Identify the impact and value of data in your business Design governance programs that fit your organization Discover and adopt tools that measure performance and need Address data needs and build a more data-centric business culture This is the perfect handbook for professionals in the world of data analysis and business intelligence, plus the people who interact with data on a daily basis. And, as always, Dummies explains things in terms anyone can understand, making it easy to learn everything you need to know.

“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.

Project management is a system originally developed within the construction industry for controlling schedules, costs, and specifications of large multitask projects. In recent years, manufacturers have discovered that project management's time-tested techniques dovetail neatly with the current thinking on quality control and management in a highly competitive global marketplace. The system has been increasingly recognized for its suitability in the manufacturing process and is now applied in virtually every area of production. One of the foremost proponents of this trend is Adedeji Badiru, an internationally recognized authority on project management, whose books have helped thousands of companies adapt the system to their particular needs. This completely revised Second Edition of Badiru's breakthrough publication, Project Management in Manufacturing and High Technology Operations, focuses on the dramatic increase in the use of high-tech machinery in industrial operations, and seamlessly integrates high-tech themes into a general discussion of project management. An introductory chapter on manufacturing analysis investigates how the latest concepts and techniques of project management are applied to manufacturing. The main body of the book offers a wealth of new material, including discussions of learning curve analysis, basic models for forecasting and inventory control, economic analysis of manufacturing, techniques for data analysis, and the application of expert systems. The chapter on computer applications in project management is completely revised and updated to reflect the enormous strides taken in this area in recent years. This book presents an up-to-date, practical approach to project management in manufacturing. Written by a pioneer in the application of project management to the manufacturing industries, this revised and expanded Second Edition of Project Management in Manufacturing and High Technology Operations reflects the increased use of high-tech machinery in industrial operations and the trends of recent years to apply project management methods to every phase of production. Complete with numerous illustrations, as well as exercises to wrap up each chapter, this Second Edition features: An emphasis on practical examples, including many new case studies, and a full chapter on the lessons learned from the space shuttle Challenger disaster Many new project management concepts and techniques that focus on manufacturing but can be applied to any project A new chapter on manufacturing systems analysis that provides the backdrop for the project analysis that takes place throughout the book Expanded discussions of the latest quantitative and managerial approaches, including learning curve analysis, basic models for forecasting and inventory control, economic analysis of manufacturing, techniques for data analysis, and the application of expert systems A strong international perspective, useful for multinational companies and for academic purposes This book equips engineers and managers with the tools to effectively manage all aspects of a project, including quality control, schedules, and expenses. Used as a text in engineering or business courses, it offers absorbing supplemental reading for students at the upper undergraduate and graduate levels. Professor Badiru has been widely praised for his incisive and highly relevant case studies. In this Second Edition, the case-study approach is expanded so that chapters typically include two real-world examples of the project management techniques or issues in question. In the final chapter, Badiru takes a close and painful look at a high-tech disaster, the explosion of the space shuttle Challenger. He offers rare and instructive insight into the devastating failure of a high-tech project—still poignant, despite the passage of time. Communicative throughout, this volume provides a solid, up-to-date reference for engineers and managers in manufacturing, as well as for consultants and administrators in related fields. Professor Badiru's proven reputation for providing interesting lecture material also makes Project Management in Manufacturing and High Technology Operations especially useful as a technology management text in both engineering and business schools. Cover Design/Illustration: David Levy

Because of the increased access to high-speed Internet and smart phones, many patients have started to use mobile applications to manage various health needs. These devices and mobile apps are now increasingly used and integrated with telemedicine and telehealth via the medical Internet of Things (IoT). Big Data Management and the Internet of Things for Improved Health Systems is a critical scholarly resource that examines the digital transformation of healthcare. Featuring coverage on a broad range of topics, such as brain computer interface, data reduction techniques, and risk factors, this book is geared towards academicians, practitioners, researchers, and students seeking research on health and well-being data.