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Thingalytics


Author : Dr. John Bates
language : en
Publisher: XinXii
Release Date : 2015-09-18


Download Thingalytics written by Dr. John Bates and has been published by XinXii this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-18 with Technology & Engineering categories.


The Internet of Things is changing the world. Thingalytics by Dr. John Bates is the most powerful book written to date about the Internet of Things (IoT), showing businesses how to take advantage of the fast Big Data that flows across the digital planet. Pulling from exciting examples of real-life innovation and invention, John makes IoT come alive. From digitally enriching exotic shops in Istanbul, Turkey, to crossing the USA on a sensor-enabled Greyhound Bus to finding new ways to mend people in hospital smart operating rooms, Thingalytics depicts how IoT can make our lives happier, easier, more productive and even safer. Thingalytics, a composite of “Things” and “Analytics,” shows businesses how to use real-time analytics and algorithms in order to seize the opportunities that flow from IoT, while simultaneously spotting and navigating around threats. As each real world object – from people to refrigerators, to tractors and ships or cans of fizzy pop - is digitized and connected to the Internet, it presents a unique opportunity for innovative businesses to learn from, and take advantage of, the digital vibrations it creates. Illustrated by case studies from global, visionary organizations such as Coca Cola, Greyhound Bus and Medtronic, Thingalytics highlights how the alchemy of real-time analytics and smart algorithms can help turn fast Big Data into actionable gold nuggets for any business, anywhere. Digital disruption to traditional “bricks-and-mortar” businesses is happening now. Organizations must transform themselves using digital technologies. Time does not stand still in this brave, new digital world. “Digital Darwinism is unkind to those who wait,” says R “Ray” Wang, a leading industry analyst who has written the Foreword to Thingalytics. John Bates personally interviewed each of the people in this book. His deep knowledge of their vision, their businesses and their goals gives him the insight and the gravitas to explain how each organization is conquering the digital world. Winners in the IoT race will not only profit but could – just possibly – avert disaster. Thingalytics becomes very exciting when we see how lives can be saved, fraud avoided, customers delighted and carbon emissions reduced.

Energie 4 0


Author : Viviane Du Castel
language : fr
Publisher: Editions Publibook
Release Date : 2017


Download Energie 4 0 written by Viviane Du Castel and has been published by Editions Publibook this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.


La révolution numérique, la transition énergétique et la participation citoyenne constituent trois composantes essentielles permettant un développement harmonieux de l'ensemble des activités économiques, dans un monde en mutation marqué par de nombreuses disruptions. Une interaction s'opère entre ces trois éléments favorisant des initiatives technologiques de toutes sortes. Le système électrique 4.0 est un enjeu fondamental pour les énergéticiens, tant les incidences directes et indirectes sont porteuses d'avenir, dans un contexte géopolitique lui aussi en pleine mutation.

Big Data Analytics Using Splunk


Author : Peter Zadrozny
language : en
Publisher: Apress
Release Date : 2013-08-23


Download Big Data Analytics Using Splunk written by Peter Zadrozny and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-23 with Computers categories.


Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. Examples in the book draw from social media sources such as Twitter (tweets) and Foursquare (check-ins). You also learn to draw from machine data, enabling you to analyze, say, web server log files and patterns of user access in real time, as the access is occurring. Gone are the days when you need be caught out by shifting public opinion or sudden changes in customer behavior. Splunk’s easy to use engine helps you recognize and react in real time, as events are occurring. Splunk is a powerful, yet simple analytical tool fast gaining traction in the fields of big data and operational intelligence. Using Splunk, you can monitor data in real time, or mine your data after the fact. Splunk’s stunning visualizations aid in locating the needle of value in a haystack of a data. Geolocation support spreads your data across a map, allowing you to drill down to geographic areas of interest. Alerts can run in the background and trigger to warn you of shifts or events as they are taking place. With Splunk you can immediately recognize and react to changing trends and shifting public opinion as expressed through social media, and to new patterns of eCommerce and customer behavior. The ability to immediately recognize and react to changing trends provides a tremendous advantage in today’s fast-paced world of Internet business. Big Data Analytics Using Splunk opens the door to an exciting world of real-time operational intelligence. Built around hands-on projects Shows how to mine social media Opens the door to real-time operational intelligence

Big Data And The Internet Of Things


Author : Robert Stackowiak
language : en
Publisher: Apress
Release Date : 2015-05-07


Download Big Data And The Internet Of Things written by Robert Stackowiak and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-07 with Computers categories.


Enterprise Information Architecture for a New Age: Big Data and The Internet of Things, provides guidance in designing an information architecture to accommodate increasingly large amounts of data, massively large amounts of data, not only from traditional sources, but also from novel sources such everyday objects that are fast becoming wired into global Internet. No business can afford to be caught out by missing the value to be mined from the increasingly large amounts of available data generated by everyday devices. The text provides background as to how analytical solutions and enterprise architecture methodologies and concepts have evolved (including the roles of data warehouses, business intelligence tools, predictive analytics, data discovery, Big Data, and the impact of the Internet of Things). Then you’re taken through a series of steps by which to define a future state architecture and create a plan for how to reach that future state. Enterprise Information Architecture for a New Age: Big Data and The Internet of Things helps you gain an understanding of the following: Implications of Big Data from a variety of new data sources (including data from sensors that are part of the Internet of Things) upon an information architecture How establishing a vision for data usage by defining a roadmap that aligns IT with line-of-business needs is a key early step The importance and details of taking a step-by-step approach when dealing with shifting business challenges and changing technology capabilities How to mitigate risk when evaluating existing infrastructure and designing and deploying new infrastructure Enterprise Information Architecture for a New Age: Big Data and The Internet of Things combines practical advice with technical considerations. Author Robert Stackowiak and his team are recognized worldwide for their expertise in large data solutions, including analytics. Don’t miss your chance to read this book and gain the benefit of their advice as you look forward in thinking through your own choices and designing your own architecture to accommodate the burgeoning explosion in data that can be analyzed and converted into valuable information to drive your business forward toward success.

Disruptive Analytics


Author : Thomas W. Dinsmore
language : en
Publisher: Apress
Release Date : 2016-08-27


Download Disruptive Analytics written by Thomas W. Dinsmore and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-27 with Computers categories.


Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today. What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache Spark is everywhere Discover the potential of streaming and real-time analytics Learn what Deep Learning can do and why it matters See how self-service analytics can change the way organizations do business Who This Book Is For Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.

Disruptive Analytics


Author : Thomas W. Dinsmore
language : en
Publisher: Apress
Release Date : 2016-08-27


Download Disruptive Analytics written by Thomas W. Dinsmore and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-27 with Computers categories.


Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today. What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache Spark is everywhere Discover the potential of streaming and real-time analytics Learn what Deep Learning can do and why it matters See how self-service analytics can change the way organizations do business Who This Book Is For Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.

Internet Congestion Control


Author : Subir Varma
language : en
Publisher: Morgan Kaufmann
Release Date : 2015-08-18


Download Internet Congestion Control written by Subir Varma and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-18 with Computers categories.


Internet Congestion Control provides a description of some of the most important topics in the area of congestion control in computer networks, with special emphasis on the analytical modeling of congestion control algorithms. The field of congestion control has seen many notable advances in recent years and the purpose of this book, which is targeted towards the advanced and intermediate reader, is to inform about the most important developments in this area. The book should enable the reader to gain a good understanding of the application of congestion control theory to a number of application domains such as Data Center Networks, Video Streaming, High Speed Links and Broadband Wireless Networks. When seen through the lens of analytical modeling, there are a number of common threads that run through the design and analysis of congestion control protocols in all these different areas, which are emphasized in this book. The book also cuts a path through the profusion of algorithms in the literature, and puts the topic on a systematic and logical footing. Internet Congestion Control provides practicing network engineers and researchers with a comprehensive and accessible coverage of analytical models of congestion control algorithms, and gives readers everything needed to understand the latest developments and research in this area. Examines and synthesizes the most important developments in internet congestion control from the last 20 years. Provides detailed description on the congestion control protocols used in four key areas; broadband wireless networks, high speed networks with large latencies, video transmission networks, and data center networks. Offers accessible coverage of advanced topics such as Optimization and Control Theory as applied to congestion control systems.