Analytics For The Internet Of Things Iot by Andrew Minteer

Analytics For The Internet Of Things Iot
Author: Andrew Minteer
Publisher: Packt Publishing Ltd
ISBN: 1787127575
Size: 71.58 MB
Page: 378
Release: 2017-07-24

Book Description
Break through the hype and learn how to extract actionable intelligence from the flood of IoT data About This Book Make better business decisions and acquire greater control of your IoT infrastructure Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices Uncover the business potential generated by data from IoT devices and bring down business costs Who This Book Is For This book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be useful What You Will Learn Overcome the challenges IoT data brings to analytics Understand the variety of transmission protocols for IoT along with their strengths and weaknesses Learn how data flows from the IoT device to the final data set Develop techniques to wring value from IoT data Apply geospatial analytics to IoT data Use machine learning as a predictive method on IoT data Implement best strategies to get the most from IoT analytics Master the economics of IoT analytics in order to optimize business value In Detail We start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques. Next we review how IoT devices generate data and how the information travels over networks. You'll get to know strategies to collect and store the data to optimize the potential for analytics, and strategies to handle data quality concerns. Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We'll also review the economics of IoT analytics and you'll discover ways to optimize business value. By the end of the book, you'll know how to handle scale for both data storage and analytics, how Apache Spark can be leveraged to handle scalability, and how R and Python can be used for analytic modeling. Style and approach This book follows a step-by-step, practical approach to combine the power of analytics and IoT and help you get results quickly



Analytics For The Internet Of Things Iot by Andrew Minteer

Analytics For The Internet Of Things Iot
Author: Andrew Minteer
Publisher:
ISBN: 9781787120730
Size: 76.92 MB
Page: 329
Release: 2017-08-31

Book Description
Break through the hype and learn how to extract actionable intelligence from the flood of IoT dataAbout This Book* Make better business decisions and acquire greater control of your IoT infrastructure* Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices* Uncover the business potential generated by data from IoT devices and bring down business costsWho This Book Is ForThis book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be usefulWhat you will learn* Overcome the challenges IoT data brings to analytics* Understand the variety of transmission protocols for IoT along with their strengths and weaknesses* Master how data flows from the IoT device to the final data set, where it can be used for analytics* Apply geospatial analytics to IoT data* Use machine learning as a predictive method on IoT data* Implement best strategies to get the most from IoT analytics* Master the economics of IoT analytics in order to optimize business valueIn DetailThis book's mission is to transform you into a designer of effective analytics for IoT data. This book will help you become skilled at extracting value from IoT big data using multiple analytic techniques. You will learn how to overcome the unique challenges associated with Internet of Things data and you'll master various strategies to optimize the data for analytics via step-by-step descriptions.This book's mission is to transform the reader into a designer of effective analytics for IoT data. This book will help you become skilled at extracting value from IoT big data using multiple analytic techniques. You will learn how to overcome the unique challenges associated with Internet of Things data and you'll master various strategies to optimize the data for analytics via step-by-step descriptions.You will start with the perplexing task of extracting value from huge amounts of barely intelligible data. You will trace the convoluted route it took to end up with you. Further, you will learn how value can be derived from the data through visualizations and statistical modeling techniques. Towards the end of the book, we will review the economics of IoT analytics and ways to optimize business value.



Thingalytics by

Analytics For The Internet Of Things Iot
Author:
Publisher:
ISBN: 9780989756426
Size: 27.18 MB
Page: 175
Release: 2015-03-05

Book Description
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 from the digital planet. Thingalytics, a composite of "Things" and "Analytics," shows organizations how to use real-time analytics and algorithms to seize the opportunities that flow from IoT while simultaneously minimizing threats. The Internet of Things is changing the world. As each device--from tractors to refrigerators to ships--is digitized and connected to the Internet it presents a unique opportunity for innovative businesses to learn from, and take advantage of, the digital data it creates. Illustrated by real-life 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, who has written the Forward to Thingalytics. Using real stories from some of the most tech-savvy retailers, banks, transportation and soft drink providers, Thingalytics delves into the world of analytics and algorithms to show the reader how to seize the opportunities buried within IoT. John Bates personally interviewed each of the people featured 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. Pulling from exciting examples of real-life innovation and invention, John makes IoT come alive; from the exotic shops of Istanbul, Turkey, to tractors in a field in Iowa or a hospital operating room in Florida, Thingalytics depicts how IoT can make our lives happier, easier, more productive and even safer. Winners in the IoT race will not only profit but could--just possibly--avert disaster.



Internet Of Things And Data Analytics Handbook by Hwaiyu Geng

Analytics For The Internet Of Things Iot
Author: Hwaiyu Geng
Publisher: John Wiley & Sons
ISBN: 1119173647
Size: 48.78 MB
Page: 800
Release: 2017-01-10

Book Description
This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing, and implementing IoT projects. The book is written by experts on the subject matter, including international experts from nine countries in the consumer and enterprise fields of IoT. The text starts with an overview and anatomy of IoT, ecosystem of IoT, communication protocols, networking, and available hardware, both present and future applications and transformations, and business models. The text also addresses big data analytics, machine learning, cloud computing, and consideration of sustainability that are essential to be both socially responsible and successful. Design and implementation processes are illustrated with best practices and case studies in action. In addition, the book: Examines cloud computing, data analytics, and sustainability and how they relate to IoT overs the scope of consumer, government, and enterprise applications Includes best practices, business model, and real-world case studies Hwaiyu Geng, P.E., is a consultant with Amica Research (www.AmicaResearch.org, Palo Alto, California), promoting green planning, design, and construction projects. He has had over 40 years of manufacturing and management experience, working with Westinghouse, Applied Materials, Hewlett Packard, and Intel on multi-million high-tech projects. He has written and presented numerous technical papers at international conferences. Mr. Geng, a patent holder, is also the editor/author of Data Center Handbook (Wiley, 2015).



Internet Of Things For Smart Cities by Waleed Ejaz

Analytics For The Internet Of Things Iot
Author: Waleed Ejaz
Publisher: Springer
ISBN: 3319950371
Size: 14.25 MB
Page: 66
Release: 2018-10-12

Book Description
This book introduces the concept of smart city as the potential solution to the challenges created by urbanization. The Internet of Things (IoT) offers novel features with minimum human intervention in smart cities. This book describes different components of Internet of Things (IoT) for smart cities including sensor technologies, communication technologies, big data analytics and security.



The Internet Of Things And Big Data Analytics by Pethuru Raj

Analytics For The Internet Of Things Iot
Author: Pethuru Raj
Publisher: CRC Press
ISBN: 1000057399
Size: 36.67 MB
Page: 324
Release: 2020-06-07

Book Description
This book comprehensively conveys the theoretical and practical aspects of IoT and big data analytics with the solid contributions from practitioners as well as academicians. This book examines and expounds the unique capabilities of the big data analytics platforms in capturing, cleansing and crunching IoT device/sensor data in order to extricate actionable insights. A number of experimental case studies and real-world scenarios are incorporated in this book in order to instigate our book readers. This book Analyzes current research and development in the domains of IoT and big data analytics Gives an overview of latest trends and transitions happening in the IoT data analytics space Illustrates the various platforms, processes, patterns, and practices for simplifying and streamlining IoT data analytics The Internet of Things and Big Data Analytics: Integrated Platforms and Industry Use Cases examines and accentuates how the multiple challenges at the cusp of IoT and big data can be fully met. The device ecosystem is growing steadily. It is forecast that there will be billions of connected devices in the years to come. When these IoT devices, resource-constrained as well as resource-intensive, interact with one another locally and remotely, the amount of multi-structured data generated, collected, and stored is bound to grow exponentially. Another prominent trend is the integration of IoT devices with cloud-based applications, services, infrastructures, middleware solutions, and databases. This book examines the pioneering technologies and tools emerging and evolving in order to collect, pre-process, store, process and analyze data heaps in order to disentangle actionable insights.



Building Blocks For Iot Analytics by John Soldatos

Analytics For The Internet Of Things Iot
Author: John Soldatos
Publisher: River Publishers
ISBN: 8793519036
Size: 67.16 MB
Page: 292
Release: 2016-11-23

Book Description
Internet-of-Things (IoT) Analytics are an integral element of most IoT applications, as it provides the means to extract knowledge, drive actuation services and optimize decision making. IoT analytics will be a major contributor to IoT business value in the coming years, as it will enable organizations to process and fully leverage large amounts of IoT data, which are nowadays largely underutilized. The Building Blocks of IoT Analytics is devoted to the presentation the main technology building blocks that comprise advanced IoT analytics systems. It introduces IoT analytics as a special case of BigData analytics and accordingly presents leading edge technologies that can be deployed in order to successfully confront the main challenges of IoT analytics applications. Special emphasis is paid in the presentation of technologies for IoT streaming and semantic interoperability across diverse IoT streams. Furthermore, the role of cloud computing and BigData technologies in IoT analytics are presented, along with practical tools for implementing, deploying and operating non-trivial IoT applications. Along with the main building blocks of IoT analytics systems and applications, the book presents a series of practical applications, which illustrate the use of these technologies in the scope of pragmatic applications. Technical topics discussed in the book include: Cloud Computing and BigData for IoT analyticsSearching the Internet of ThingsDevelopment Tools for IoT Analytics ApplicationsIoT Analytics-as-a-ServiceSemantic Modelling and Reasoning for IoT AnalyticsIoT analytics for Smart BuildingsIoT analytics for Smart CitiesOperationalization of IoT analyticsEthical aspects of IoT analytics This book contains both research oriented and applied articles on IoT analytics, including several articles reflecting work undertaken in the scope of recent European Commission funded projects in the scope of the FP7 and H2020 programmes. These articles present results of these projects on IoT analytics platforms and applications. Even though several articles have been contributed by different authors, they are structured in a well thought order that facilitates the reader either to follow the evolution of the book or to focus on specific topics depending on his/her background and interest in IoT and IoT analytics technologies. The compilation of these articles in this edited volume has been largely motivated by the close collaboration of the co-authors in the scope of working groups and IoT events organized by the Internet-of-Things Research Cluster (IERC), which is currently a part of EU's Alliance for Internet of Things Innovation (AIOTI).



Information Fusion And Analytics For Big Data And Iot by Eloi Bosse

Analytics For The Internet Of Things Iot
Author: Eloi Bosse
Publisher: Artech House
ISBN: 1630810886
Size: 31.95 MB
Page: 280
Release: 2016-02-01

Book Description
The Internet of Things (IoT) and Big Data are hot topics in the world of intelligence operations and information gathering. This first-of-its-kind volume reveals the benefits of addressing these topics with the integration of Fusion of Information and Analytics Technologies (FIAT). The book explains how FIAT is materialized into decision support systems that are capable of supporting the prognosis, diagnosis, and prescriptive tasks within complex systems and organizations. This unique resource offers keen insight into how complex systems emerge from the interrelation of social and cognitive information, cyber and physical worlds, and the various models of decision-making and situational awareness. Practitioners also discover the central notions of analytics and information fusion. Moreover the book introduces propos such as integration through a FIAT computational model and applications at the systems level. This book concludes with a list of prospective research activities that can contribute towards the required FIAT integration for critical application domains such as: energy, health, transport and defense and security.



The Internet Of Things Data Analytics by Ajit Singh

Analytics For The Internet Of Things Iot
Author: Ajit Singh
Publisher: GRIN Verlag
ISBN: 3668947600
Size: 25.91 MB
Page: 9
Release: 2019-05-27

Book Description
Research Paper (postgraduate) from the year 2018 in the subject Computer Science - Internet, New Technologies, grade: 8.78, , course: MCA, language: English, abstract: Development of big data and IoT is rapidly increasingly and affecting all the major technologies and the business by increasing the benefits for the individual and organisations. The increasing growth of data of IoT devices has played a major role for use of Big Data. Big data is categorize into three aspects (a) Variety (b) Volume (c) Velocity. These categories are introduced by Gartner to describe the elements of big data challenges. Various opportunities are presented by the capability to analyze and utilize huge amounts of IoT data, including applications in smart cities, smart transport and grid systems, energy smart meters, and remote patient healthcare monitoring devices. The more popularity of Internet of Things day by day has made a big data analytics challenging because of the processing and collection of data through different sensors in the IoT network. The data are totally different from normal big data collected through systems in terms of characteristics because of the various sensors and objects involved during data collection, which include heterogeneity, noise, variety, and rapid growth.



Secure And Smart Internet Of Things Iot by Ahmed Banafa

Analytics For The Internet Of Things Iot
Author: Ahmed Banafa
Publisher: Stylus Publishing, LLC
ISBN: 8770220662
Size: 28.39 MB
Page: 150
Release: 2019-02-15

Book Description
By 2020, experts forecast that up to 28 billion devices will be connected to the Internet with only one third of them being computers, smartphones and tablets. The remaining two thirds will be other "devices"--sensors, terminals, household appliances, thermostats, televisions, automobiles, production machinery, urban infrastructure and many other "things"--which traditionally have not been Internet enabled. This "Internet of Things" (IoT) represents a remarkable transformation of the way in which our world will soon interact. Much like the World Wide Web connected computers to networks, and the next evolution connected people to the Internet and other people, IoT looks poised to interconnect devices, people, environments, virtual objects and machines in ways that only science fiction writers could have imagined. In a nutshell, the Internet of Things (IoT) is the convergence of connecting people, things, data and processes. It is transforming our life, business and everything in between. Secure and Smart Internet of Things explores many aspects of the Internet of Things and explains many of the completed principles of IoT and the new advances in IoT including the use of Fog Computing, AI, and Blockchain technology. The topics discussed in the book include: - Internet of Things (IoT) - Industrial Internet of Things (IIoT) - Fog Computing - Artificial Intelligence - Blockchain Technology - Network Security - Zero-Trust Model - Data Analytics - Digital Transformation - DDoS - Smart Devices



Internet Of Things by Neil Wilkins

Analytics For The Internet Of Things Iot
Author: Neil Wilkins
Publisher:
ISBN: 9781799092216
Size: 48.71 MB
Page: 122
Release: 2019-03-08

Book Description
If you want to learn about the Internet of Things, then keep reading... You were just woken up in the middle of the night by smart lightbulbs in your house blasting at full power for no reason. Your bleary-eyed investigation shows they tried to download a firmware update and failed. At that moment, Alexa starts quietly whispering sweet nonsense to herself in the corner and Roomba starts slamming into the nearest wall. What do you do? Is your house haunted or have the machines finally started an uprising? Neither - it's just another day in the IoT wonderland. This book reveals the concepts and methods powering perhaps the most ambitious technological concept of the twenty-first century - the Internet of Things (IoT) - and parades all the ridiculously named gadgets techies imagined to saturate the market before the competition. Mystical, cheap and scalable, the idea of IoT attracts creative grifters of all shapes and sizes to try their luck in pushing yet another completely unnecessary gadget to the market in hopes of fleecing gullible buyers. Some of the topics you'll find in the book are: Origins of IoT IoT Security Ethical Hacking Internet of Things Under The Cushy Foot of Tech Giants The Power of Infinite Funds IoT Toys Bio-robotics Predictive Analytics Machine Learning Artificial Intelligence Cybersecurity Big Data Business Intelligence Augmented Reality Virtual Reality Our Future And much, much more If you want to learn more about the Internet of Things, then scroll up and click "add to cart"!



Big Data Analytics For Internet Of Things by Tausifa Jan Saleem

Analytics For The Internet Of Things Iot
Author: Tausifa Jan Saleem
Publisher: John Wiley & Sons
ISBN: 1119740770
Size: 68.40 MB
Page: 400
Release: 2021-03-29

Book Description
BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.