Internet Of Things And Big Data Analytics Based Manufacturing

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The Internet of Things and Big Data Analytics

Author : Pethuru Raj
Publisher : CRC Press
ISBN 13 : 1000057399
Total Pages : 328 pages
Book Rating : 4.0/5 ( 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 CRC Press. This book was released on 2020-06-07 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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.

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

Author : Nilanjan Dey
Publisher : Springer
ISBN 13 : 331960435X
Total Pages : 545 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 545 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 and Big Data Analytics-Based Manufacturing

Author : Arun Kumar Rana
Publisher : CRC Press
ISBN 13 : 1040127517
Total Pages : 288 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Internet of Things and Big Data Analytics-Based Manufacturing by : Arun Kumar Rana

Download or read book Internet of Things and Big Data Analytics-Based Manufacturing written by Arun Kumar Rana and published by CRC Press. This book was released on 2024-10-17 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, Internet of Things (IoT) adoption in manufacturing creates huge economic prospects through reshaping industries. Modern businesses can more readily implement new data-driven strategies and deal with the pressure of international competition thanks to Industrial IoT. But as the use of IoT grows, the amount of created data rises, turning industrial data into Industrial Big Data. Internet of Things and Big Data Analytics-Based Manufacturing shows how Industrial Big Data can be produced as a result of IoT usage in manufacturing, considering sensing systems and mobile devices. Different IoT applications that have been developed are demonstrated and it is shown how genuine industrial data can be produced, leading to Industrial Big Data. This book is organized into four sections discussing IoT and technology, the future of Big Data, algorithms, and case studies demonstrating the use of IoT and Big Data in a variety of industries, including automation, industrial manufacturing, and healthcare. This reference title brings all related technologies into a single source so that researchers, undergraduate and postgraduate students, academicians, and those in the industry can easily understand the topic and further their knowledge.

Internet of Things and Big Data Analytics-Based Manufacturing

Author : Arun Kumar Rana
Publisher :
ISBN 13 : 9781032666716
Total Pages : 0 pages
Book Rating : 4.6/5 (667 download)

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Book Synopsis Internet of Things and Big Data Analytics-Based Manufacturing by : Arun Kumar Rana

Download or read book Internet of Things and Big Data Analytics-Based Manufacturing written by Arun Kumar Rana and published by . This book was released on 2024-10-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, IoT adoption in manufacturing creates huge economic prospects through reshaping industries. But as the use of IoT grows, the amount of created data rises, turning industrial data into Industrial Big Data.

Innovations in Computational Intelligence, Big Data Analytics and Internet of Things

Author : Sam Goundar
Publisher : IAP
ISBN 13 :
Total Pages : 385 pages
Book Rating : 4.8/5 (873 download)

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Book Synopsis Innovations in Computational Intelligence, Big Data Analytics and Internet of Things by : Sam Goundar

Download or read book Innovations in Computational Intelligence, Big Data Analytics and Internet of Things written by Sam Goundar and published by IAP. This book was released on 2024-03-01 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Internet of Things is changing the face of different sectors such as manufacturing, health-care, business, education etc. by completely redefining the way people, devices, and apps connect and interact with each other in the eco system. From personal fitness and wellness sensors, implantable devices to surgical robots – IoT is bringing in new tools and efficiencies in the ecosystem resulting in more integrated healthcare. Application of computational intelligence techniques is today considered as a key success factor to solve the growing scale and complexity of problems in the field of health care systems, agriculture, e-commerce etc. The convergence of Computational intelligence, Big Data and IoT provides new opportunities and revolutionize business in huge way. This book will support industry and governmental agencies to facilitate and make sense of myriad connected devices in coming decade. This book offers the recent advancements in Computational Intelligence, IoT and Big Data Analytics. • Development of models and algorithms for employing IoT based facilities in healthcare, industry, agriculture, e- commerce, manufacturing, business etc. • Methods for collection, management retrieval and processing of Big Data in various domains. • Provides taxonomy of challenges, issues and research directions in applications of computational intelligence techniques in different domains

Guide to Industrial Analytics

Author : Richard Hill
Publisher : Springer Nature
ISBN 13 : 3030791041
Total Pages : 285 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Guide to Industrial Analytics by : Richard Hill

Download or read book Guide to Industrial Analytics written by Richard Hill and published by Springer Nature. This book was released on 2021-09-27 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT). Monitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low-cost, accessible computing and storage, through Industrial Digital Technologies (IDT) and Industry 4.0, has generated considerable interest in innovative approaches to doing more with data. Data science, predictive analytics, machine learning, artificial intelligence and general approaches to modelling, simulating and visualising industrial systems have often been considered topics only for research labs and academic departments. This textbook debunks the mystique around applied data science and shows readers, using tutorial-style explanations and real-life case studies, how practitioners can develop their own understanding of performance to achieve tangible business improvements. All exercises can be completed with commonly available tools, many of which are free to install and use. Readers will learn how to use tools to investigate, diagnose, propose and implement analytics solutions that will provide explainable results to deliver digital transformation.

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.

Internet of Things and Data Analytics Handbook

Author : Hwaiyu Geng
Publisher : John Wiley & Sons
ISBN 13 : 1119173639
Total Pages : 812 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Internet of Things and Data Analytics Handbook by : Hwaiyu Geng

Download or read book Internet of Things and Data Analytics Handbook written by Hwaiyu Geng and published by John Wiley & Sons. This book was released on 2016-12-15 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).

Machine Learning Approach for Cloud Data Analytics in IoT

Author : Sachi Nandan Mohanty
Publisher : John Wiley & Sons
ISBN 13 : 1119785855
Total Pages : 528 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Machine Learning Approach for Cloud Data Analytics in IoT by : Sachi Nandan Mohanty

Download or read book Machine Learning Approach for Cloud Data Analytics in IoT written by Sachi Nandan Mohanty and published by John Wiley & Sons. This book was released on 2021-07-14 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support in business intelligence, organizations have been making significant investments in this technology. Machine Learning Approach for Cloud Data Analytics in IoT elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.

Industry 4.0 Data Analytics

Author : Rajesh Agnihotri
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781534778283
Total Pages : 174 pages
Book Rating : 4.7/5 (782 download)

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Book Synopsis Industry 4.0 Data Analytics by : Rajesh Agnihotri

Download or read book Industry 4.0 Data Analytics written by Rajesh Agnihotri and published by Createspace Independent Publishing Platform. This book was released on 2016-07-31 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Global supply chains are entering an exciting era driven by technological innovation. Buzzwords like Big Data Analytics, IoT, Smart Manufacturing, Smart Logistics and Industries 4.0 are generating both interest and confusion in the business community. This book's comprehensive, one-of-a-kind coverage, journeys from the birth of digital data during Industries 3.0, to the latest practices, trends, and emerging developments in Industries 4.0. The balanced approach of the book follows the natural flow of supply chain processes and provides a deeper insight into the role data analytics plays in streamlining today's business models. Well-organized chapters demonstrate the practical applications of data analytics in today's supply chain workplace, and provide a wealth of real-world business examples. The book provides a step-by-step approach to building your own data analytics strategy.

Big Data, IoT, and Machine Learning

Author : Rashmi Agrawal
Publisher : CRC Press
ISBN 13 : 1000098281
Total Pages : 319 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 2020-09-01 with total page 319 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

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Author : Kai Hwang
Publisher : John Wiley & Sons
ISBN 13 : 1119247047
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 2017-03-13 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.

Blockchain and Machine Learning for e-Healthcare Systems

Author : Balusamy Balamurugan
Publisher : Institution of Engineering and Technology
ISBN 13 : 1839531142
Total Pages : 480 pages
Book Rating : 4.8/5 (395 download)

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Book Synopsis Blockchain and Machine Learning for e-Healthcare Systems by : Balusamy Balamurugan

Download or read book Blockchain and Machine Learning for e-Healthcare Systems written by Balusamy Balamurugan and published by Institution of Engineering and Technology. This book was released on 2020-11-13 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of information in such a way that doctors can see a patient's entire medical history, but researchers see only statistical data instead of any personal information. Machine learning can make use of this data to notice patterns and give accurate predictions, providing more support for the patients and also in research related fields where there is a need for accurate data to predict credible results.

Internet of Things and Big Data Technologies for Next Generation Healthcare

Author : Chintan Bhatt
Publisher : Springer
ISBN 13 : 3319497367
Total Pages : 386 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 386 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.

Big Data Applications in Industry 4.0

Author : P. Kaliraj
Publisher : CRC Press
ISBN 13 : 1000537668
Total Pages : 446 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Big Data Applications in Industry 4.0 by : P. Kaliraj

Download or read book Big Data Applications in Industry 4.0 written by P. Kaliraj and published by CRC Press. This book was released on 2022-02-10 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development. Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems. Features An introduction to data science and the types of data analytics methods accessible today An overview of data integration concepts, methodologies, and solutions A general framework of forecasting principles and applications, as well as basic forecasting models including naïve, moving average, and exponential smoothing models A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies The application of Industry 4.0 and Big Data in the field of education The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making

Big Data Analytics in Smart Manufacturing

Author : P Suresh
Publisher : CRC Press
ISBN 13 : 1000815749
Total Pages : 205 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Big Data Analytics in Smart Manufacturing by : P Suresh

Download or read book Big Data Analytics in Smart Manufacturing written by P Suresh and published by CRC Press. This book was released on 2022-12-14 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significant objective of this edited book is to bridge the gap between smart manufacturing and big data by exploring the challenges and limitations. Companies employ big data technology in the manufacturing field to acquire data about the products. Manufacturing companies could gain a deep business insight by tracking customer details, monitoring fuel consumption, detecting product defects, and supply chain management. Moreover, the convergence of smart manufacturing and big data analytics currently suffers due to data privacy concern, short of qualified personnel, inadequate investment, long-term storage management of high-quality data. The technological advancement makes the data storage more accessible, cheaper and the convergence of these technologies seems to be more promising in the recent era. This book identified the innovative challenges in the industrial domains by integrating heterogeneous data sources such as structured data, semi-structures data, geo-spatial data, textual information, multimedia data, social networking data, etc. It promotes data-driven business modelling processes by adopting big data technologies in the manufacturing industry. Big data analytics is emerging as a promising discipline in the manufacturing industry to build the rigid industrial data platforms. Moreover, big data facilitates process automation in the complete lifecycle of product design and tracking. This book is an essential guide and reference since it synthesizes interdisciplinary theoretical concepts, definitions, and models, involved in smart manufacturing domain. It also provides real-world scenarios and applications, making it accessible to a wider interdisciplinary audience. Features The readers will get an overview about the smart manufacturing system which enables optimized manufacturing processes and benefits the users by increasing overall profit The researchers will get insight about how the big data technology leverages in finding new associations, factors and patterns through data stream observations in real time smart manufacturing systems The industrialist can get an overview about the detection of defects in design, rapid response to market, innovative products to meet the customer requirement which can benefit their per capita income in better way Discusses technical viewpoints, concepts, theories, and underlying assumptions that are used in smart manufacturing Information delivered in a user-friendly manner for students, researchers, industrial experts, and business innovators, as well as for professionals and practitioners