Internet Of Everything And Big Data

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Big Data and The Internet of Things

Author : Robert Stackowiak
Publisher : Apress
ISBN 13 : 1484209869
Total Pages : 207 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Big Data and The Internet of Things by : Robert Stackowiak

Download or read book Big Data and The Internet of Things written by Robert Stackowiak and published by Apress. This book was released on 2015-05-07 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data Analytics for Internet of Things

Author : Tausifa Jan Saleem
Publisher : John Wiley & Sons
ISBN 13 : 1119740754
Total Pages : 402 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Big Data Analytics for Internet of Things by : Tausifa Jan Saleem

Download or read book Big Data Analytics for Internet of Things written by Tausifa Jan Saleem and published by John Wiley & Sons. This book was released on 2021-04-20 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data and Internet of Things: A Roadmap for Smart Environments

Author : Nik Bessis
Publisher : Springer
ISBN 13 : 9783319344812
Total Pages : 0 pages
Book Rating : 4.3/5 (448 download)

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Book Synopsis Big Data and Internet of Things: A Roadmap for Smart Environments by : Nik Bessis

Download or read book Big Data and Internet of Things: A Roadmap for Smart Environments written by Nik Bessis and published by Springer. This book was released on 2016-09-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that are related to the emerging computational technologies and their association with supporting the Internet of Things advanced functioning for organizational settings including both business and e-science. Apart from inter-operable and inter-cooperative aspects, the book deals with a notable opportunity namely, the current trend in which a collectively shared and generated content is emerged from Internet end-users. Specifically, the book presents advances on managing and exploiting the vast size of data generated from within the smart environment (i.e. smart cities) towards an integrated, collective intelligence approach. The book also presents methods and practices to improve large storage infrastructures in response to increasing demands of the data intensive applications. The book contains 19 self-contained chapters that were very carefully selected based on peer review by at least two expert and independent reviewers and is organized into the three sections reflecting the general themes of interest to the IoT and Big Data communities: Section I: Foundations and Principles Section II: Advanced Models and Architectures Section III: Advanced Applications and Future Trends The book is intended for researchers interested in joining interdisciplinary and transdisciplinary works in the areas of Smart Environments, Internet of Things and various computational technologies for the purpose of an integrated collective computational intelligence approach into the Big Data era.

Big Data, IoT, and Machine Learning

Author : Rashmi Agrawal
Publisher : CRC Press
ISBN 13 : 1000098303
Total Pages : 237 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Big Data, IoT, and Machine Learning by : Rashmi Agrawal

Download or read book Big Data, IoT, and Machine Learning written by Rashmi Agrawal and published by CRC Press. This book was released on 2020-07-29 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools. This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them. Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases

Internet of Things and Big Data Applications

Author : Valentina E. Balas
Publisher : Springer Nature
ISBN 13 : 3030391191
Total Pages : 270 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Internet of Things and Big Data Applications by : Valentina E. Balas

Download or read book Internet of Things and Big Data Applications written by Valentina E. Balas and published by Springer Nature. This book was released on 2020-02-24 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides essential future directions for IoT and Big Data research. Thanks to rapid advances in sensors and wireless technology, Internet of Things (IoT)-related applications are attracting more and more attention. As more devices are connected, they become potential components for smart applications. Thus, there is a new global interest in these applications in various domains such as health, agriculture, energy, security and retail. The main objective of this book is to reflect the multifaceted nature of IoT and Big Data in a single source. Accordingly, each chapter addresses a specific domain that is now being significantly impacted by the spread of soft computing

Big Data-Enabled Internet of Things

Author : Muhammad Usman Shahid Khan
Publisher : Computing and Networks
ISBN 13 : 9781785616365
Total Pages : 488 pages
Book Rating : 4.6/5 (163 download)

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Book Synopsis Big Data-Enabled Internet of Things by : Muhammad Usman Shahid Khan

Download or read book Big Data-Enabled Internet of Things written by Muhammad Usman Shahid Khan and published by Computing and Networks. This book was released on 2020-01-10 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fields of Big Data and the Internet of Things (IoT) have seen tremendous advances, developments, and growth in recent years. The IoT is the inter-networking of connected smart devices, buildings, vehicles and other items which are embedded with electronics, software, sensors and actuators, and network connectivity that enable these objects to collect and exchange data. The IoT produces a lot of data. Big data describes very large and complex data sets that traditional data processing application software is inadequate to deal with, and the use of analytical methods to extract value from data. This edited book covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions.

Internet of Things and Big Data Analytics for Smart Generation

Author : Valentina E. Balas
Publisher : Springer
ISBN 13 : 3030042030
Total Pages : 300 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Internet of Things and Big Data Analytics for Smart Generation by : Valentina E. Balas

Download or read book Internet of Things and Big Data Analytics for Smart Generation written by Valentina E. Balas and published by Springer. This book was released on 2018-12-30 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses emerging technologies in the field of the Internet of Things and big data, an area that will be scaled in next two decades. Written by a team of leading experts, it is the only book focusing on the broad areas of both the Internet of things and big data. The thirteen chapters present real-time experimental methods and theoretical explanations, as well as the implementation of these technologies through various applications. Offering a blend of theory and hands-on practices, the book enables graduate, postgraduate and research students who are involved in real-time project scaling techniques to understand projects and their execution. It is also useful for senior computer students, researchers and industry workers who are involved in experimenting with the Internet of Things and big data technologies, helping them to solve the real-time problem. Moreover, the chapters covering cutting-edge technologies help multidisciplinary researchers who are bridging the gap of two different outset real-time problems.

Internet of Things and Big Data Technologies for Next Generation Healthcare

Author : Chintan Bhatt
Publisher : Springer
ISBN 13 : 3319497367
Total Pages : 388 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Internet of Things and Big Data Technologies for Next Generation Healthcare by : Chintan Bhatt

Download or read book Internet of Things and Big Data Technologies for Next Generation Healthcare written by Chintan Bhatt and published by Springer. This book was released on 2017-01-01 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.

Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Author : Nilanjan Dey
Publisher : Springer
ISBN 13 : 331960435X
Total Pages : 549 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Internet of Things and Big Data Analytics Toward Next-Generation Intelligence by : Nilanjan Dey

Download or read book Internet of Things and Big Data Analytics Toward Next-Generation Intelligence written by Nilanjan Dey and published by Springer. This book was released on 2017-08-14 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.

Internet of Things for Smart Cities

Author : Waleed Ejaz
Publisher : Springer
ISBN 13 : 3319950371
Total Pages : 66 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Internet of Things for Smart Cities by : Waleed Ejaz

Download or read book Internet of Things for Smart Cities written by Waleed Ejaz and published by Springer. This book was released on 2018-10-12 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Securing IoT and Big Data

Author : Vijayalakshmi Saravanan
Publisher : CRC Press
ISBN 13 : 100025853X
Total Pages : 187 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Securing IoT and Big Data by : Vijayalakshmi Saravanan

Download or read book Securing IoT and Big Data written by Vijayalakshmi Saravanan and published by CRC Press. This book was released on 2020-12-17 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers IoT and Big Data from a technical and business point of view. The book explains the design principles, algorithms, technical knowledge, and marketing for IoT systems. It emphasizes applications of big data and IoT. It includes scientific algorithms and key techniques for fusion of both areas. Real case applications from different industries are offering to facilitate ease of understanding the approach. The book goes on to address the significance of security algorithms in combing IoT and big data which is currently evolving in communication technologies. The book is written for researchers, professionals, and academicians from interdisciplinary and transdisciplinary areas. The readers will get an opportunity to know the conceptual ideas with step-by-step pragmatic examples which makes ease of understanding no matter the level of the reader.

Medical Big Data and Internet of Medical Things

Author : Aboul Ella Hassanien
Publisher : CRC Press
ISBN 13 : 1351030361
Total Pages : 366 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Medical Big Data and Internet of Medical Things by : Aboul Ella Hassanien

Download or read book Medical Big Data and Internet of Medical Things written by Aboul Ella Hassanien and published by CRC Press. This book was released on 2018-10-25 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues, and research on integration of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for IoT data processing, effective frameworks for removal of misclassified instances, practicality of big data analytics, methodological and technical issues, potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data, IoT, soft computing, machine learning, augmented reality, organs on chip, personalized drugs, implantable electronics, integration of bio-interfaces, and wearable sensors, devices, practical body area network (BAN) and architectures of web systems. Key Features: Addresses various applications of Medical Big Data and Internet of Medical Things in real time environment Highlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical data Provides background and solutions to existing challenges in Medical Big Data and Internet of Medical Things Provides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical data Discusses interactions, advantages, limitations, challenges and future perspectives of IoT based remote healthcare monitoring systems. Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT) Presents case studies on the next generation medical chair, electronic nose and pill cam are also presented.

Artificial Intelligence for the Internet of Everything

Author : William Lawless
Publisher : Academic Press
ISBN 13 : 0128176377
Total Pages : 303 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence for the Internet of Everything by : William Lawless

Download or read book Artificial Intelligence for the Internet of Everything written by William Lawless and published by Academic Press. This book was released on 2019-02-21 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for the Internet of Everything considers the foundations, metrics and applications of IoE systems. It covers whether devices and IoE systems should speak only to each other, to humans or to both. Further, the book explores how IoE systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems. It examines the meaning, value and effect that IoT has had and may have on ordinary life, in business, on the battlefield, and with the rise of intelligent and autonomous systems. Based on an artificial intelligence (AI) perspective, this book addresses how IoE affects sensing, perception, cognition and behavior. Each chapter addresses practical, measurement, theoretical and research questions about how these “things may affect individuals, teams, society or each other. Of particular focus is what may happen when these “things begin to reason, communicate and act autonomously on their own, whether independently or interdependently with other “things . Considers the foundations, metrics and applications of IoE systems Debates whether IoE systems should speak to humans and each other Explores how IoE systems affect targeted audiences and society Discusses theoretical IoT ecosystem models

The Internet of Things and Big Data Analytics

Author : Pethuru Raj
Publisher : Auerbach Publications
ISBN 13 : 9781032474373
Total Pages : 0 pages
Book Rating : 4.4/5 (743 download)

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Book Synopsis The Internet of Things and Big Data Analytics by : Pethuru Raj

Download or read book The Internet of Things and Big Data Analytics written by Pethuru Raj and published by Auerbach Publications. This book was released on 2023-01-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is presents academic and practical research in IoT and big data. With contributions from both practitioners and academic researchers, the book examines new technology and compares it to existing technology. Experimental case studies are related to real-time scenarios.

Predictive Intelligence Using Big Data and the Internet of Things

Author : Gupta, P.K.
Publisher : IGI Global
ISBN 13 : 1522562117
Total Pages : 300 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Predictive Intelligence Using Big Data and the Internet of Things by : Gupta, P.K.

Download or read book Predictive Intelligence Using Big Data and the Internet of Things written by Gupta, P.K. and published by IGI Global. This book was released on 2018-12-28 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time. Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.

New Trends and Applications in Internet of Things (IoT) and Big Data Analytics

Author : Rohit Sharma
Publisher : Springer Nature
ISBN 13 : 3030993299
Total Pages : 278 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis New Trends and Applications in Internet of Things (IoT) and Big Data Analytics by : Rohit Sharma

Download or read book New Trends and Applications in Internet of Things (IoT) and Big Data Analytics written by Rohit Sharma and published by Springer Nature. This book was released on 2022-05-16 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the use of The Internet of Things (IoT) and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. IoT and big data emerged from the early 2000s data boom, driven forward by many of the early internet and technology companies. The Internet of Things (IoT) is an interconnection of several devices, networks, technologies, and human resources to achieve a common goal. There are a variety of IoT-based applications being used in different sectors and have succeeded in providing huge benefits to the users. The generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends to adopt the data analytics to strengthen solutions. The success of IoT depends upon the influential association of big data analytics. New technologies like search engines, mobile devices, and industrial machines provided as much data as companies could handle—and the scale continues to grow. In a study conducted by IDC, the market intelligence firm estimated that the global production of data would grow 10x between 2015 and 2020. So, the proposed book covers up all the aspects in the field discuss above.

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Author : Kai Hwang
Publisher : John Wiley & Sons
ISBN 13 : 1119247292
Total Pages : 432 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Big-Data Analytics for Cloud, IoT and Cognitive Computing by : Kai Hwang

Download or read book Big-Data Analytics for Cloud, IoT and Cognitive Computing written by Kai Hwang and published by John Wiley & Sons. This book was released on 2017-03-17 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.