The Essential Guide to the Internet for Health Professionals is a superb photocopiable resource for lecturers. Each chapter contains easy-to-follow activities and photocopiable worksheets.

Introduces a non-techie to the seven essential tools and skills they can easily learn. The book covers three tools and four skills. The three tools are: The Internet browser (the window to the Internet) Email (stay directly connected with others) Social networking (connect and reconnect with friends & relatives, and maybe even discover new ones) The four skills are: Texting (keeps you connected even when you have limited access) Internet research (learn anything from A to Z) Online shopping (find anything on the web) Online selling (offload your junk to those who need them). Anyone can learn these tools and skills; they just need to keep an open mind, and they will see.

Besides the Privacy & Data Protection Essentials Courseware - English (ISBN: 978 940 180 457 8) publication you are advised to obtain the publication EU GDPR, A pocket guide (ISBN: 978 178 778 064 4). Privacy & Data Protection Essentials (PDPE) covers essential subjects related to the protection of personal data. Candidates benefit from a certification that is designed to impart all the required knowledge to help ensure compliancy to the General Data Protection Regulation (GDPR). This regulation affects every organization that processes European Union personal data. Wherever personal data is collected, stored, used, and finally deleted or destroyed, privacy concerns arise. With the European Union GDPR the Council of the European Union attempts to strengthen and unify data protection for all individuals within the European Union. Within the European Union regulations and standards regarding the protection of data are stringent. The GDPR came into effect in May 2016 and organizations had until May 2018 to change their policies and processes to ensure that they fully comply with the GDPR. Companies outside Europe also need to comply the GDPR when doing business in Europe. One of the solutions to comply on the GDPR is to train and qualify staff. Certified professionals with the right level of knowledge will help your organization to comply the GDPR. The EXIN Privacy & Data Protection program covers the required knowledge of legislation and regulations relating to data protection and how this knowledge should be used to be compliant. The EXIN Privacy & Data Protection Essentials is part of the EXIN qualification program Privacy and Data Protection.

This is a revision of one of the newest books in the very popular Exploring Windows Series. Assuming no prior knowledge of the Internet, this book will appeal to persons from a variety of disciplines including liberal arts, physical and life sciences, social science, and business. Concepts are presented in non-technical terms, but with sufficient detail so the reader will gain real understanding of the Internet and how it works. Provides hands-on experiences in addition to the rationale behind what is being done. Covers the World Wide Web, Netscape, E-mail, URLs, HTML, special appendix "Hot sites on the Internet".

XForms offer a more straightforward way to handle user input. This handbook presents a thorough explanation of the XForms technology and shows how to tae advantage of its functionality.

Manger provides a package that permits users to sign on to an Internet service provider and begin using the Net at once--providing they have a modem and a credit card. For those without a modem, he includes an array of software tools that will allow them to become proficient on the Internet without the expense of being online. Users will also be able to simulate using the Web.

Perspectives on the varied challenges posed by big data for health, science, law, commerce, and politics. Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but contextually, investigating the varied challenges posed by big data for health, science, law, commerce, and politics. Taken together, the chapters reveal a complex set of problems, practices, and policies. The advent of big data methodologies has challenged the theory-driven approach to scientific knowledge in favor of a data-driven one. Social media platforms and self-tracking tools change the way we see ourselves and others. The collection of data by corporations and government threatens privacy while promoting transparency. Meanwhile, politicians, policy makers, and ethicists are ill-prepared to deal with big data's ramifications. The contributors look at big data's effect on individuals as it exerts social control through monitoring, mining, and manipulation; big data and society, examining both its empowering and its constraining effects; big data and science, considering issues of data governance, provenance, reuse, and trust; and big data and organizations, discussing data responsibility, “data harm,” and decision making. Contributors Ryan Abbott, Cristina Alaimo, Kent R. Anderson, Mark Andrejevic, Diane E. Bailey, Mike Bailey, Mark Burdon, Fred H. Cate, Jorge L. Contreras, Simon DeDeo, Hamid R. Ekbia, Allison Goodwell, Jannis Kallinikos, Inna Kouper, M. Lynne Markus, Michael Mattioli, Paul Ohm, Scott Peppet, Beth Plale, Jason Portenoy, Julie Rennecker, Katie Shilton, Dan Sholler, Cassidy R. Sugimoto, Isuru Suriarachchi, Jevin D. West

Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of reading through these problems, you will learn harness the power of new big data opportunities which various enterprises use to attain real-time profits. Big Data Application Architecture Pattern Recipes answers one of the most critical questions of this time 'how do you select the best end-to-end architecture to solve your big data problem?'. The book deals with various mission critical problems encountered by solution architects, consultants, and software architects while dealing with the myriad options available for implementing a typical solution, trying to extract insight from huge volumes of data in real–time and across multiple relational and non-relational data types for clients from industries like retail, telecommunication, banking, and insurance. The patterns in this book provide the strong architectural foundation required to launch your next big data application. The architectures for realizing these opportunities are based on relatively less expensive and heterogeneous infrastructures compared to the traditional monolithic and hugely expensive options that exist currently. This book describes and evaluates the benefits of heterogeneity which brings with it multiple options of solving the same problem, evaluation of trade-offs and validation of 'fitness-for-purpose' of the solution.