Big Data Y El Internet De Las Cosas PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Big Data Y El Internet De Las Cosas PDF full book. Access full book title Big Data Y El Internet De Las Cosas.
| Author | : Luis Joyanes Aguilar |
| Publisher | : Alpha Editorial |
| Total Pages | : 463 |
| Release | : 2021-12-10 |
| Genre | : Computers |
| ISBN | : 9587786939 |
Download Internet de las cosas Book in PDF, ePub and Kindle
Internet de las Cosas (Internet of Things, IoT) es un nuevo ecosistema tecnológico y social que desde hace unos años está emergiendo en organizaciones y empresas, y está comenzando a llegar a la sociedad como una nueva revolución tecnológica y social. Está ayudando a la transformación digital de las organizaciones y empresas, y es la espina dorsal de la industria 4.0 y la naciente cuarta Revolución Industrial. El libro describe y analiza el nuevo ecosistema creado en torno a las tecnologías facilitadoras de las cosas y los objetos inteligentes.
| Author | : Rohit Sharma |
| Publisher | : Springer Nature |
| Total Pages | : 278 |
| Release | : 2022-05-16 |
| Genre | : Technology & Engineering |
| ISBN | : 3030993299 |
Download New Trends and Applications in Internet of Things (IoT) and Big Data Analytics Book in PDF, ePub and Kindle
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.
| Author | : Rashmi Agrawal |
| Publisher | : CRC Press |
| Total Pages | : 319 |
| Release | : 2020-09-01 |
| Genre | : Computers |
| ISBN | : 1000098281 |
Download Big Data, IoT, and Machine Learning Book in PDF, ePub and Kindle
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
| Author | : Tausifa Jan Saleem |
| Publisher | : John Wiley & Sons |
| Total Pages | : 402 |
| Release | : 2021-04-20 |
| Genre | : Mathematics |
| ISBN | : 1119740754 |
Download Big Data Analytics for Internet of Things Book in PDF, ePub and Kindle
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.
| Author | : Vijender Kumar Solanki |
| Publisher | : CRC Press |
| Total Pages | : 349 |
| Release | : 2019-02-21 |
| Genre | : Computers |
| ISBN | : 042962493X |
Download Handbook of IoT and Big Data Book in PDF, ePub and Kindle
This multi-contributed handbook focuses on the latest workings of IoT (internet of Things) and Big Data. As the resources are limited, it's the endeavor of the authors to support and bring the information into one resource. The book is divided into 4 sections that covers IoT and technologies, the future of Big Data, algorithms, and case studies showing IoT and Big Data in various fields such as health care, manufacturing and automation. Features Focuses on the latest workings of IoT and Big Data Discusses the emerging role of technologies and the fast-growing market of Big Data Covers the movement toward automation with hardware, software, and sensors, and trying to save on energy resources Offers the latest technology on IoT Presents the future horizons on Big Data
| Author | : Sudeep Tanwar |
| Publisher | : Springer |
| Total Pages | : 477 |
| Release | : 2019-07-17 |
| Genre | : Technology & Engineering |
| ISBN | : 9811387591 |
Download Multimedia Big Data Computing for IoT Applications Book in PDF, ePub and Kindle
This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms.
| Author | : Rohit Sharma |
| Publisher | : Springer Nature |
| Total Pages | : 330 |
| Release | : 2023-09-19 |
| Genre | : Technology & Engineering |
| ISBN | : 3031338081 |
Download Data Analytics for Internet of Things Infrastructure Book in PDF, ePub and Kindle
This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the use of the IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. They discuss how the generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends the adoption of data analytics to strengthen solutions. The book addresses the challenges in designing the web based IoT system, provides a comparative analysis of different advanced approaches in industries, and contains an analysis of databases to provide expert systems. The book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of IoT and big data analytics.
| Author | : Valentina E. Balas |
| Publisher | : Springer Nature |
| Total Pages | : 270 |
| Release | : 2020-02-24 |
| Genre | : Computers |
| ISBN | : 3030391191 |
Download Internet of Things and Big Data Applications Book in PDF, ePub and Kindle
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
| Author | : Nilanjan Dey |
| Publisher | : Springer |
| Total Pages | : 545 |
| Release | : 2017-08-14 |
| Genre | : Technology & Engineering |
| ISBN | : 331960435X |
Download Internet of Things and Big Data Analytics Toward Next-Generation Intelligence Book in PDF, ePub and Kindle
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.
| Author | : Nonita Sharma |
| Publisher | : Springer Nature |
| Total Pages | : 312 |
| Release | : 2023-11-04 |
| Genre | : Technology & Engineering |
| ISBN | : 9819945186 |
Download Big Data Analytics in Intelligent IoT and Cyber-Physical Systems Book in PDF, ePub and Kindle
This book explores the complete system perspective, underlying theories, modeling, and applications of cyber-physical systems (CPS). Considering the interest of researchers and academicians, the editors present this book in a multidimensional perspective covering CPS at breadth. It covers topics ranging from discussion of rudiments of the system and efficient management to recent research challenges and issues. This book is divided into four sections discussing the fundamentals of CPS, engineering-based solutions, its applications, and advanced research challenges. The contents highlight the concept map of CPS including the latest technological interventions, issues, challenges, and the integration of CPS with IoT and big data analytics, modeling solutions, distributed management, efficient energy management, cyber-physical systems research, and education with applications in industrial, agriculture, and medical domains. This book is of immense interest to those in academia and industry.
