Emerging Technologies In Computer Engineering Microservices In Big Data Analytics


Emerging Technologies In Computer Engineering Microservices In Big Data Analytics
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Emerging Technologies In Computer Engineering Microservices In Big Data Analytics


Emerging Technologies In Computer Engineering Microservices In Big Data Analytics
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Author : Arun K. Somani
language : en
Publisher: Springer
Release Date : 2019-05-17

Emerging Technologies In Computer Engineering Microservices In Big Data Analytics written by Arun K. Somani and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-17 with Computers categories.


This book constitutes the refereed proceedings of the Second International Conference on Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics, ICETCE 2019, held in Jaipur, India, in February 2019. The 28 revised full papers along with 1 short paper presented were carefully reviewed and selected from 253 submissions. ICETCE conference aims to showcase advanced technologies, techniques, innovations and equipments in computer engineering. It provides a platform for researchers, scholars, experts, technicians, government officials and industry personnel from all over the world to discuss and share their valuable ideas and experiences.



Emerging Technologies In Computer Engineering


Emerging Technologies In Computer Engineering
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Author : Arun K. Somani
language : en
Publisher:
Release Date : 2019

Emerging Technologies In Computer Engineering written by Arun K. Somani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computer engineering categories.


This book constitutes the refereed proceedings of the Second International Conference on Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics, ICETCE 2019, held in Jaipur, India, in February 2019. The 28 revised full papers along with 1 short paper presented were carefully reviewed and selected from 253 submissions. ICETCE conference aims to showcase advanced technologies, techniques, innovations and equipments in computer engineering. It provides a platform for researchers, scholars, experts, technicians, government officials and industry personnel from all over the world to discuss and share their valuable ideas and experiences.



Microservices In Big Data Analytics


Microservices In Big Data Analytics
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Author : Anil Chaudhary
language : en
Publisher: Springer Nature
Release Date : 2019-11-26

Microservices In Big Data Analytics written by Anil Chaudhary and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-26 with Computers categories.


These proceedings gather cutting-edge papers exploring the principles, techniques, and applications of Microservices in Big Data Analytics. The ICETCE-2019 is the latest installment in a successful series of annual conferences that began in 2011. Every year since, it has significantly contributed to the research community in the form of numerous high-quality research papers. This year, the conference’s focus was on the highly relevant area of Microservices in Big Data Analytics.



Emerging Technology And Architecture For Big Data Analytics


Emerging Technology And Architecture For Big Data Analytics
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Author : Anupam Chattopadhyay
language : en
Publisher: Springer
Release Date : 2017-04-19

Emerging Technology And Architecture For Big Data Analytics written by Anupam Chattopadhyay and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-19 with Technology & Engineering categories.


This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn’t work, and what are the fundamental problems, solutions, upcoming challenges and opportunities. Provides a single-source reference to hardware architectures for big-data analytics; Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems; Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics.



Emerging Technologies And Applications In Data Processing And Management


Emerging Technologies And Applications In Data Processing And Management
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Author : Ma, Zongmin
language : en
Publisher: IGI Global
Release Date : 2019-06-28

Emerging Technologies And Applications In Data Processing And Management written by Ma, Zongmin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-28 with Computers categories.


Advances in web technology and the proliferation of sensors and mobile devices connected to the internet have resulted in the generation of immense data sets available on the web that need to be represented, saved, and exchanged. Massive data can be managed effectively and efficiently to support various problem-solving and decision-making techniques. Emerging Technologies and Applications in Data Processing and Management is a critical scholarly publication that examines the importance of data management strategies that coincide with advancements in web technologies. Highlighting topics such as geospatial coverages, data analysis, and keyword query, this book is ideal for professionals, researchers, academicians, data analysts, web developers, and web engineers.



Emerging Trends In Iot And Integration With Data Science Cloud Computing And Big Data Analytics


Emerging Trends In Iot And Integration With Data Science Cloud Computing And Big Data Analytics
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Author : Pelin Yildirim Taser
language : en
Publisher:
Release Date : 2021

Emerging Trends In Iot And Integration With Data Science Cloud Computing And Big Data Analytics written by Pelin Yildirim Taser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Big data categories.


"This book contains research on emerging trends in the internet of things and integration with data science"--



Advanced Methodologies And Technologies In Network Architecture Mobile Computing And Data Analytics


Advanced Methodologies And Technologies In Network Architecture Mobile Computing And Data Analytics
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Author : Khosrow-Pour, D.B.A., Mehdi
language : en
Publisher: IGI Global
Release Date : 2018-10-19

Advanced Methodologies And Technologies In Network Architecture Mobile Computing And Data Analytics written by Khosrow-Pour, D.B.A., Mehdi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-19 with Computers categories.


From cloud computing to data analytics, society stores vast supplies of information through wireless networks and mobile computing. As organizations are becoming increasingly more wireless, ensuring the security and seamless function of electronic gadgets while creating a strong network is imperative. Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics highlights the challenges associated with creating a strong network architecture in a perpetually online society. Readers will learn various methods in building a seamless mobile computing option and the most effective means of analyzing big data. This book is an important resource for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, and IT specialists seeking modern information on emerging methods in data mining, information technology, and wireless networks.



The Digital Twin Paradigm For Smarter Systems And Environments The Industry Use Cases


The Digital Twin Paradigm For Smarter Systems And Environments The Industry Use Cases
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Author : Preetha Evangeline
language : en
Publisher: Academic Press
Release Date : 2020-02

The Digital Twin Paradigm For Smarter Systems And Environments The Industry Use Cases written by Preetha Evangeline and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02 with categories.


The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases, Volume 117, the latest volume in the Advances in Computers series, presents detailed coverage of new advancements in computer hardware, software, theory, design and applications. Chapters vividly illustrate how the emerging discipline of digital twin is strategically contributing to various digital transformation initiatives. Specific chapters cover Demystifying the Digital Twin Paradigm, Digital Twin Technology for "Smarter Manufacturing", The Fog Computing/ Edge Computing to leverage Digital Twin, The industry use cases for the Digital Twin idea, Enabling Digital Twin at the Edge, The Industrial Internet of Things (IIOT), and much more. Provides in-depth descriptions of digital transformation technologies and tools Covers various research accomplishments in this flourishing field of relevance Includes many detailed industry use cases with all the right information



New Trends And Applications In Internet Of Things Iot And Big Data Analytics


New Trends And Applications In Internet Of Things Iot And Big Data Analytics
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Author : Rohit Sharma
language : en
Publisher: Springer Nature
Release Date : 2022-05-16

New Trends And Applications In Internet Of Things Iot And Big Data Analytics written by Rohit Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-16 with Technology & Engineering categories.


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


Big Data
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Author : Min Chen
language : en
Publisher: Springer
Release Date : 2014-05-05

Big Data written by Min Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-05 with Computers categories.


This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.