Home eBooks Download › realtime analysis of large scale data

Realtime Analysis Of Large Scale Data

Download Realtime Analysis Of Large Scale Data PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Realtime Analysis Of Large Scale Data book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Realtime Analysis Of Large Scale Data

DOWNLOAD
Author : Becker, Daniel
language : en
Publisher: KIT Scientific Publishing
Release Date : 2017-04-03

Realtime Analysis Of Large Scale Data written by Becker, Daniel and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-03 with Electronic computers. Computer science categories.

In photon science more and more data are taken. It is not possible anymore to store and process all data offline. In this book, we explore strategies for handling this large amount of data. A neural network as well as techniques from image processing are used to efficiently categorize and select useful data. We also indicate why many sophisticated algorithms cannot be used in this context. In addition, a prototype for data selection is presented, discussed, and benchmarked.

Open Source Software For Statistical Analysis Of Big Data Emerging Research And Opportunities

DOWNLOAD
Author : Segall, Richard S.
language : en
Publisher: IGI Global
Release Date : 2020-02-21

Open Source Software For Statistical Analysis Of Big Data Emerging Research And Opportunities written by Segall, Richard S. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-21 with Computers categories.

With the development of computing technologies in today’s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.

Realtime Analysis Of Large Scale Data

DOWNLOAD
Author : Daniel Becker
language : en
Publisher:
Release Date : 2020-10-09

Realtime Analysis Of Large Scale Data written by Daniel Becker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-09 with Computers categories.

Dependability In Sensor Cloud And Big Data Systems And Applications

DOWNLOAD
Author : Guojun Wang
language : en
Publisher: Springer Nature
Release Date : 2019-11-05

Dependability In Sensor Cloud And Big Data Systems And Applications written by Guojun Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-05 with Computers categories.

This book constitutes the refereed proceedings of the 5th International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications, DependSys, held in Guangzhou, China, in November 2019. The volume presents 39 full papers, which were carefully reviewed and selected from 112 submissions. The papers are organized in topical sections on dependability and security fundamentals and technologies; dependable and secure systems; dependable and secure applications; dependability and security measures and assessments; explainable artificial inteligence for cyberspace.

Mastering Data Science

DOWNLOAD
Author : Bright Mills
language : en
Publisher: via tolino media
Release Date : 2025-07-31

Mastering Data Science written by Bright Mills and has been published by via tolino media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-31 with Computers categories.

Data Science offers a comprehensive exploration into the expansive world of data science, tailored for students, professionals, and enthusiasts seeking to build or deepen their understanding.

Real Time Big Data Analytics

DOWNLOAD
Author : Trilokesh Khatri
language : en
Publisher: Educohack Press
Release Date : 2025-01-03

Real Time Big Data Analytics written by Trilokesh Khatri and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.

Real-Time Big Data Analytics: Emerging Trends explores how advanced technologies have significantly reduced data processing cycle time, enabling unprecedented data exploration and experimentation. This book delves into the real promise of advanced data analytics beyond mere technology, highlighting how real-time big data analytics processes data as it arrives to provide timely, actionable insights. We discuss scalable hardware solutions based on emerging technologies like nonvolatile memory devices and in-memory computing, paired with optimized data analytics algorithms such as machine learning. The book covers various frameworks for data analytics, including Hadoop, Spark, Storm, and NoSQL, and provides a comparative performance analysis of each. Designed for students, scholars, and professionals, Real-Time Big Data Analytics: Emerging Trends is an invaluable resource for those looking to master big data and real-time analytics.

Serverless Architectures And Data Driven Advertising Optimizing Systems For Scalability And Compliance

DOWNLOAD
Author :
language : en
Publisher: DeepMisti Publication
Release Date : 2025-02-02

Serverless Architectures And Data Driven Advertising Optimizing Systems For Scalability And Compliance written by and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-02 with Computers categories.

The world of modern advertising has become increasingly reliant on data-driven strategies and scalable technology solutions. In an era where personalized customer experiences, real-time analytics, and compliance with stringent data privacy regulations are critical, traditional monolithic architectures are no longer sufficient. Instead, businesses are turning to serverless architectures to meet the demands of agility, scalability, and cost-effectiveness in the ever-evolving advertising ecosystem. Serverless Architectures and Data-Driven Advertising: Optimizing Systems for Scalability and Compliance bridges the gap between the technical and strategic aspects of building serverless systems for the advertising industry. This book is not just a guide to serverless technology—it is a blueprint for designing data-driven systems that are resilient, scalable, and aligned with regulatory requirements such as GDPR, CCPA, and beyond. In this book, we explore the principles of serverless computing and how they can be leveraged to solve challenges unique to data-intensive advertising environments. Through real-world examples and in-depth case studies, readers will learn how to architect systems that not only deliver high performance but also ensure compliance with complex data governance frameworks. Whether you're a software engineer, an architect, or a decision-maker seeking to understand the technical and operational advantages of serverless in advertising, this book provides the tools and insights you need to stay ahead in a competitive, data-centric industry. By the end of this journey, you will have a holistic understanding of how to design and optimize serverless solutions that power scalable, compliant, and impactful advertising strategies for the digital age. Welcome to the future of advertising technology. Authors

Parallel And High Performance Computing In Artificial Intelligence

DOWNLOAD
Author : Mukesh Raghuwanshi
language : en
Publisher: CRC Press
Release Date : 2025-05-20

Parallel And High Performance Computing In Artificial Intelligence written by Mukesh Raghuwanshi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.

Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automation, machine learning, deep learning, healthcare, bioinformatics, natural language processing (NLP), and vision intelligence. The book’s two major themes are high-performance computing (HPC) architecture and techniques and their application in artificial intelligence. Highlights include: HPC use cases, application programming interfaces (APIs), and applications Parallelization techniques HPC for machine learning Implementation of parallel computing with AI in big data analytics HPC with AI in healthcare systems AI in industrial automation Coverage of HPC architecture and techniques includes multicore architectures, parallel-computing techniques, and APIs, as well as dependence analysis for parallel computing. The book also covers hardware acceleration techniques, including those for GPU acceleration to power big data systems. As AI is increasingly being integrated into HPC applications, the book explores emerging and practical applications in such domains as healthcare, agriculture, bioinformatics, and industrial automation. It illustrates technologies and methodologies to boost the velocity and scale of AI analysis for fast discovery. Data scientists and researchers can benefit from the book’s discussion on AI-based HPC applications that can process higher volumes of data, provide more realistic simulations, and guide more accurate predictions. The book also focuses on deep learning and edge computing methodologies with HPC and presents recent research on methodologies and applications of HPC in AI.

Data Analytics For Smart Cities

DOWNLOAD
Author : Amir Alavi
language : en
Publisher: CRC Press
Release Date : 2018-10-26

Data Analytics For Smart Cities written by Amir Alavi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-26 with Computers categories.

The development of smart cities is one of the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for smart cities. Next generation smart cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. They should react in time, establish automated control, and collect information for intelligent decision-making. In this context, one of the major tasks is to develop advanced frameworks for the interpretation of the huge amount of information provided by the emerging testing and monitoring systems. Data Analytics for Smart Cities brings together some of the most exciting new developments in the area of integrating advanced data analytics systems into smart cities along with complementary technological paradigms such as cloud computing and Internet of Things (IoT). The book serves as a reference for researchers and engineers in domains of advanced computation, optimization, and data mining for smart civil infrastructure condition assessment, dynamic visualization, intelligent transportation systems (ITS), cyber-physical systems, and smart construction technologies. The chapters are presented in a hands-on manner to facilitate researchers in tackling applications. Arguably, data analytics technologies play a key role in tackling the challenge of creating smart cities. Data analytics applications involve collecting, integrating, and preparing time- and space-dependent data produced by sensors, complex engineered systems, and physical assets, followed by developing and testing analytical models to verify the accuracy of results. This book covers this multidisciplinary field and examines multiple paradigms such as machine learning, pattern recognition, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, and expert systems. The book explores new territory by discussing the cutting-edge concept of Big Data analytics for interpreting massive amounts of data in smart city applications.

Empowering Iot With Big Data Analytics

DOWNLOAD
Author : Mohamed Adel Serhani
language : en
Publisher: Elsevier
Release Date : 2024-11-16

Empowering Iot With Big Data Analytics written by Mohamed Adel Serhani and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-16 with Computers categories.

Empowering IoT with Big Data Analytics provides comprehensive coverage of major topics, tools, and techniques related to empowering IoT with big data technologies and big data analytics solutions, thus allowing for better processing, analysis, protection, distribution, and visualization of data for the benefit of IoT applications and second, a better deployment of IoT applications on the ground. This book covers big data in the IoT era, its application domains, current state-of-the-art in big data and IoT technologies, standards, platforms, and solutions. This book provides a holistic view of the big data value-chain for IoT, including storage, processing, protection, distribution, analytics, and visualization.Big data is a multi-disciplinary topic involving handling intensive, continuous, and heterogeneous data retrieved from different sources including sensors, social media, and embedded systems. The emergence of Internet of Things (IoT) and its application to many domains has led to the generation of huge amounts of both structured and unstructured data often referred to as big data. - Introduces fundamental concepts of big data analytics and their applications to IoT - Helps readers learn to leverage big data storage, processing and analysis tools, and techniques to promote IoT applications for better decision-making - Explores federated learning in big data to ensure data privacy and handle data heterogeneity

Realtime Analysis Of Large Scale Data

Recent Posts