Emerging Technology and Architecture for Big-data Analytics 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 Emerging Technology and Architecture for Big-data Analytics PDF full book. Access full book title Emerging Technology and Architecture for Big-data Analytics by Anupam Chattopadhyay. Download full books in PDF and EPUB format.

Emerging Technology and Architecture for Big-data Analytics

Emerging Technology and Architecture for Big-data Analytics PDF Author: Anupam Chattopadhyay
Publisher: Springer
ISBN: 3319548409
Category : Technology & Engineering
Languages : en
Pages : 330

Book Description
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 Technology and Architecture for Big-data Analytics

Emerging Technology and Architecture for Big-data Analytics PDF Author: Anupam Chattopadhyay
Publisher: Springer
ISBN: 3319548409
Category : Technology & Engineering
Languages : en
Pages : 330

Book Description
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.

Data Science and Emerging Technologies

Data Science and Emerging Technologies PDF Author: Yap Bee Wah
Publisher: Springer
ISBN: 9789819702923
Category : Technology & Engineering
Languages : en
Pages : 0

Book Description
The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4–5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.

Learning to Love Data Science

Learning to Love Data Science PDF Author: Mike Barlow
Publisher: "O'Reilly Media, Inc."
ISBN: 1491936541
Category : Computers
Languages : en
Pages : 162

Book Description
Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you’ll appreciate how data science is fundamentally altering our world, for better and for worse. Barlow paints a picture of the emerging data space in broad strokes. From new techniques and tools to the use of data for social good, you’ll find out how far data science reaches. With this anthology, you’ll learn how: Analysts can now get results from their data queries in near real time Indie manufacturers are blurring the lines between hardware and software Companies try to balance their desire for rapid innovation with the need to tighten data security Advanced analytics and low-cost sensors are transforming equipment maintenance from a cost center to a profit center CIOs have gradually evolved from order takers to business innovators New analytics tools let businesses go beyond data analysis and straight to decision-making Mike Barlow is an award-winning journalist, author, and communications strategy consultant. Since launching his own firm, Cumulus Partners, he has represented major organizations in a number of industries.

Microservices in Big Data Analytics

Microservices in Big Data Analytics PDF Author: Anil Chaudhary
Publisher: Springer Nature
ISBN: 9811501289
Category : Computers
Languages : en
Pages : 206

Book Description
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 Technologies and Applications in Data Processing and Management

Emerging Technologies and Applications in Data Processing and Management PDF Author: Ma, Zongmin
Publisher: IGI Global
ISBN: 1522584471
Category : Computers
Languages : en
Pages : 458

Book Description
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.

Data Science and Emerging Technologies

Data Science and Emerging Technologies PDF Author: Yap Bee Wah
Publisher: Springer Nature
ISBN: 9819702933
Category :
Languages : en
Pages : 574

Book Description


Business Models in Emerging Technologies

Business Models in Emerging Technologies PDF Author: Stylianos Kampakis
Publisher: Business Expert Press
ISBN: 1637423144
Category : Business & Economics
Languages : en
Pages : 214

Book Description
This book is a practical guide to two of the most important emerging technologies: data science/AI and blockchain. The world of technology progresses so quickly that we often don’t realize how far we’ve come. Over the last 20 years, technologies like data science, artificial intelligence, the Internet of Things, and blockchain have transformed the world of business, industry, and society. These emerging technologies offer a wide range of opportunities. However, they also create new challenges businesses must face, such as developing new business models, and discovering the best adoption strategies. This book is a practical guide to two of the most important emerging technologies: data science/AI and blockchain. With broad applicability across all sectors, decision-makers would greatly benefit from understanding these fields.

Data Science and Emerging Technologies

Data Science and Emerging Technologies PDF Author: Yap Bee Wah
Publisher: Springer Nature
ISBN: 9819907411
Category : Technology & Engineering
Languages : en
Pages : 562

Book Description
The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2022), held online at UNITAR International University, Malaysia, during December 20–21, 2022. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as artificial intelligence and blockchain are useful for various domains such as marketing, health care, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in computational and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but not limited to: artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.

Emerging Technologies for Education

Emerging Technologies for Education PDF Author: Elvira Popescu
Publisher: Springer Nature
ISBN: 303038778X
Category : Computers
Languages : en
Pages : 386

Book Description
This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Symposium, SETE 2019, held in conjunction with ICWL 2019, in Magdeburg, Germany, in September 2019. The 10 full and 6 short papers presented together with 24 papers from 5 workshops were carefully reviewed and selected from 34 submissions. The papers cover the latest findings in various areas, such as: virtual reality and game-based learning; learning analytics; K-12 education; language learning; design, model and implementation of e-learning platforms and tools; digitalization and industry 4.0; pedagogical issues, practice and experience sharing.

Emerging Technologies in Computing

Emerging Technologies in Computing PDF Author: Pramod Kumar
Publisher: CRC Press
ISBN: 1000477703
Category : Computers
Languages : en
Pages : 253

Book Description
Emerging Technologies in Computing: Theory, Practice, and Advances reviews the past, current, and future needs of technologies in the computer science field while it also discusses the emerging importance of appropriate practices, advances, and their impact. It outlines emerging technologies and their principles, challenges, and applications as well as issues involved in the digital age. With the rapid development of technologies, it becomes increasingly important for us to remain up to date on new and emerging technologies. It draws a clear illustration for all those who have a strong interest in emerging computing technologies and their impacts on society. Features: Includes high-quality research work by academicians and industrial experts in the field of computing Offers case studies related to Artificial Intelligence, Blockchain, Internet of Things, Multimedia Big Data, Blockchain, Augmented Reality, Data Science, Robotics, Cybersecurity, 3D Printing, Voice Assistants and Chatbots, and Future Communication Networks Serves as a valuable reference guide for anyone seeking knowledge about where future computing is heading