Implementing Cybersecurity: A Guide to the National Institute of Standards and Technology Risk Management Framework
The book provides the complete strategic understanding requisite to allow a person to create and use the RMF process recommendations for risk management. This will be the case both for applications of the RMF in corporate training situations, as well as for any individual who wants to obtain specialized knowledge in organizational risk management. It is an all-purpose roadmap of sorts aimed at the practical understanding and implementation of the risk management process as a standard entity. It will enable an “application” of the risk management process as well as the fundamental elements of control formulation within an applied context.
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NoSQL database usage is growing at a stunning 50% per year, as organizations discover NoSQL’s potential to address even the most challenging Big Data and real-time database problems. Every NoSQL database is different, but one is the most popular by far: MongoDB. Now, in just 24 lessons of one hour or less, you can learn how to leverage MongoDB’s immense power. Each short, easy lesson builds on all that’s come before, teaching NoSQL concepts and MongoDB techniques from the ground up. Sams Teach Yourself NoSQL with MongoDB in 24 Hours covers all this, and much more: * Learning how NoSQL is different, when to use it, and when to use traditional RDBMSes instead* Designing and implementing MongoDB databases of diverse types and sizes* Storing and interacting with data via Java, PHP, Python, and Node.js/Mongoose* Choosing the right NoSQL distribution model for your application* Installing and configuring MongoDB* Designing MongoDB data models, including collections, indexes, and GridFS* Balancing consistency, performance, and durability* Leveraging the immense power of Map-Reduce* Administering, monitoring, securing, backing up, and repairing MongoDB databases* Mastering advanced techniques such as sharding and replication* Optimizing performance
About the Author
Take your idea from concept to production with this unique guide. Whether it’s called physical computing, ubiquitous computing, or the Internet of Things, it’s a hot topic in technology: how to channel your inner Steve Jobs and successfully combine hardware, embedded software, web services, electronics, and cool design to create cutting-edge devices that are fun, interactive, and practical. If you’d like to create the next must-have product, this unique book is the perfect place to start. Both a creative and practical primer, it explores the platforms you can use to develop hardware or software, discusses design concepts that will make your products eye-catching and appealing, and shows you ways to scale up from a single prototype to mass production. Features: helps software engineers, web designers, product designers, and electronics engineers start designing products using the Internet-of-Things approach; explains how to combine sensors, servos, robotics, Arduino chips, and more with various networks or the Internet, to create interactive, cutting-edge devices; and provides an overview of the necessary steps to take your idea from concept through production. If you’d like to design for the future, “Designing the Internet of Things” is a great place to start.
About the Author
Adrian McEwen (Liverpool, UK) is an Internet of Things expert. He co-wrote and runs the Howduino course, teaching about Arduino across the UK. Adrian is the curator of official Arduino Ethernet Library. He has prowled the rooftops of Liverpool City Centre embedding Arduino sensors into the city’s infrastructure. Hakim Cassimally (Liverpool, UK) is an Italian and English Literature Graduate who discovered Perl and never looked back. A writer of SciFi, Hakim founded a study group for the Stanford AI distributed learning classes.
A comprehensive, storytelling approach to Computing Concepts. The 11th edition has been revamped to include emphasis on mobile computing, cloud computing, privacy/surveillance, and big data.
Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the “bible” of simulation and now has more than 100,000 copies in print. The book can serve as the primary text for a variety of courses; for example: a first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses. A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research. An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).
About the Author
Averill M. Law is President of Averill M. Law & Associates, Inc. (Tucson, AZ), a company specializing in simulation training, consulting, and software. He was previously Professor of Decision Sciences at the University of Arizona and Associate Professor of Industrial Engineering at the University of Wisconsin-Madison. He has a Ph.D. and an M.S. in industrial engineering and operations research from the University of California at Berkeley, an M.A. in mathematics from California State University-Long Beach, and a B.S. in mathematics from Pennsylvania State University. Dr. Law has been a simulation consultant to organizations such as Accenture, Boeing, Booz Allen & Hamilton, ConocoPhillips, Defense Modeling and Simulation Office, Federal Express, Ford, Hewlett-Packard, Kimberly-Clark, M&M/Mars, Monsanto, Sandia National Labs, Swedish Defense Material Administration, U.S. Marine Corps, and Xerox. He has presented more than 550 simulation and statistics short courses in 20 countries, including onsite seminars for ALCOA, AT&T, Boeing, Caterpillar, Coca-Cola, CSX, GE, GM, IBM, Intel, Lockheed Martin, Los Alamos National Lab, Missile Defense Agency, Motorola, NASA, National Security Agency, Northrop Grumman, 3M, Time Warner, UPS, U.S. Air Force, U.S. Army, U.S. Navy, and Whirlpool. He is the developer of the ExpertFit distribution-fitting software, which automates the selection of simulation input probability distributions. ExpertFit is used by more than 3000 organizations worldwide. He also developed the videotapes “Simulation of Manufacturing Systems” and “How to Conduct a Successful Simulation Study.” Dr. Law is the author (or coauthor) of three books and numerous papers on simulation, operations research, statistics, manufacturing, and communications networks. His article “Statistical Analysis of Simulation Output Data” was the first invited feature paper on simulation to appear in a major research journal. His series of papers on the simulation of manufacturing systems won the 1988 Institute of Industrial Engineers’ best publication award. He was awarded the 2009 INFORMS Simulation Society’s Lifetime Professional Achievement Award for his simulation seminars and book. During his academic career, the Office of Naval Research supported his simulation research for 8 consecutive years. He wrote a regular column on simulation for “Industrial Engineering” during 1990 and 1991.