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Анализ больших данных (Big Data)

Требуется помощь в преобразовании раздела Информатика и вычислительная техника

Если Вы компетентны в тематике этого раздела, то Вас, возможно, заинтересует обсуждение планируемых преобразований.
Packt Publishing, 2018. — 593 p. — ISBN 1788835824. A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence Key Features Learn to build and run a big data application with sample code Explore examples to implement activities that a big data architect performs Use Machine Learning and AI for structured and unstructured data Book...
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Springer International Publishing AG, part of Springer Nature, 2018. — 219 p. — ISBN 978-3319764719. This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data,...
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Elsevier, 2018. — 464 p. — ISBN 978-0-12-811968-6. This book brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity...
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Springer, 2018. — 197 p. — ISBN 978-3319633596. This book looks at the increasing interest in running microscopy processing algorithms on big image data by presenting the theoretical and architectural underpinnings of a web image processing pipeline (WIPP). Software-based methods and infrastructure components for processing big data microscopy experiments are presented to...
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Springer, 2018. — 500 p. — ISBN 9811314012. The book presents the latest, high-quality, technical contributions and research findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It discusses state-of-the-art topics as well as the challenges and solutions for...
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Packt Publishing, 2017. — 228 p. — ISBN 1788392655. Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platform Key Features Experience the power of codeless analytics using Alteryx, a leading Business Intelligence tool Uncover hidden trends and valuable insights from your data across different sources and make accurate...
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Packt Publishing, 2018. — 312 p. — ISBN 1783554398. Big Data Analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to bring out hidden patterns and insights from the data which otherwise cannot be analyzed through traditional systems. Through this book, you'll learn to setup big data environment on the AWS/Azure platform...
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FT Press, 2012. — 1495 p. — ISBN-10 0-13-309124-4; ISBN-13 978-0-13-309124-3. A brand new collection of business analytics insights and actionable techniques… 3 authoritative books, now in a convenient e-format, at a great price! 3 authoritative eBooks deliver comprehensive analytics knowledge and tools for optimizing every critical business decision! Use business analytics to...
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Springer, 2019. — 384 р. — ISBN 3030105423. This handbook provides an overarching view of cyber security and digital forensic challenges related to big data and IoT environment, prior to reviewing existing data mining solutions and their potential application in big data context, and existing authentication and access control for IoT devices. An IoT access control scheme and an...
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Springer, 2016. — 487 p. — ISBN 978-3319302638. The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society,...
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Wiley, 2019. — 296 р. — ISBN 978-1119522195. Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big...
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Packt Publishing, 2017. — 264 p. Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets Key Features Get started with BigQuery API and write custom applications using it Learn how BigQuery API can be used for storing, managing, and querying massive datasets Learn everything you need to know about Google BigQuery Book Description...
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Oxford University Press, 2018. — 144 p. — (Very Short Introductions). — ISBN 0198779577 Since long before computers were even thought of, data has been collected and organized by diverse cultures across the world. Once access to the Internet became a reality for large swathes of the world's population, the amount of data generated each day became huge, and continues to grow...
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CRC Press, 2016. — 449 p. — ISBN 78-1-4987-3487-5. Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details—making them unsuitable to R&D people. To fill such a need, Big data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers...
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Wiley, 2015. — 288 p. — ISBN 1118896629, 9781118896624. A comprehensive guide to learning technologies that unlock the value in big data. Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying...
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Packt Publishing, 2017. — 296 p. — ASIN B071VVFDMP. +Sample files Key Features Understand how Spark can be distributed across computing clusters Develop and run Spark jobs efficiently using Python A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark Book Description Frank Kane's Taming Big Data with Apache Spark and Python...
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Springer International Publishing, 2018. — 260 p. This book examines the methodological foundations of the Big Data-driven world, formulates its concept within the frameworks of modern control methods and theories, and approaches the peculiarities of Control Technologies as a specific sphere of the Big Data-driven world, distinguished in the modern Digital Economy. The book...
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O'Reilly Media, 2015. — 220 p. — ISBN-10: 1491923946. — ISBN-13: 978-1491923948 Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You’ll gain a...
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James Lee, Tao Wei, Suresh Kumar Mukhiya. — Packt Publishing, 2018. — 306 p. — ISBN 978-1-78862-090-1. Solve all big data problems by learning how to create efficient data models Key Features Create effective models that get the most out of big data Apply your knowledge to datasets from Twitter and weather data to learn big data Tackle different data modeling challenges with...
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CRC Press, 2017. — 593 p. — ISBN-13: 9781498768078. Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage...
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Springer, 2016. — 338 р. — ISBN 978-3-319-43945-7. This book constitutes the refereed proceedings of the 18th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2016, held in Porto, Portugal, September 2016. The 25 revised full papers presented were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on...
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Anil Maheshwari, 2015. — 256 р. This books fills the need for an easy and holistic book on essential Big Data technologies. Written in a lucid and simple language free from jargon and code, this book provides an intuition for Big Data from business as well as technological perspectives. This book is designed to provide the reader with the intuition behind this evolving area,...
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Manning Publications, 2015. — 328 p. — ISBN 1617290343 Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a...
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Packt Publishing, 2017. — 404 p. — ISBN 1785281941. + Sample Files Key Features This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease It is rich with ample options and solid use cases for big data visualization, and is a must-have book for your shelf Improve your decision-making by visualizing your big data the right way Book Description...
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Nomad Press, 2018. — 128 р. — ISBN 1619306794. All of these questions are questions about data. Data is information. It can be stored in books, magazines, on graph paper, in computers, and with many other methods. Most of the data that exists today is stored in computers, and the amount of data humans produce is doubling every year and half. That’s why it’s called big data! In Big...
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Cham : Springer International Publishing, 2019. — 187 p. — ISBN 978-3-319-97864-2. This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat...
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Wiley, 2013. — 176 p. Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses...
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Apress, 2018. — 177 p. Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V’s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology....
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Apress, 2018. — 557 p. — ISBN 978-1484231463. Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book covers not only the main...
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Springer, 2017. — 452 p. — ISBN 978-3319363240. This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in every chapter; presents detailed case studies on social media analytics for intelligent...
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Springer, 2017. — 895 p. — ISBN 978-3319493398. This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one...
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Apress, 2018. — 335 p. — ISBN 1484235215. Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues. When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational...
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Wiley, 2013. — 240 p. — ISBN: 9781118739570 Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment....
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Wiley, 2018. — 220 p. — ISBN 1786303264. The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this book...
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USA: IGI Global, 2018. — 954 p. — ISBN 9781522531425. The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data...
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Packt, 2019. — 242 p. — ISBN 1789340993. Apply modern deep learning techniques to build and train deep neural networks using Gorgonia Key Features: Gain a practical understanding of deep learning using Golang Build complex neural network models using Go libraries and Gorgonia Take your deep learning model from design to deployment with this handy guide Book Description Go is an...
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Kogan Page, 2015. — 224 p. Between tweets, likes, comments, blogs, videos and images, today’s customer is estimated to generate 2.5 quintillion bytes of data per day. How can marketers utilize the ever-increasing amount of data to better understand and interact with their customers? This book offers advice on how to interpret and incorporate data into an organization’s overall...
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IGI Global, 2018. — 304 p. — ISBN 978-1522570776. The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives...
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Auerbach Publications, 2017. — 378 p. — ISBN B073FNVT3Y. There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data...
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Springer, 2018. — 263 p. — ISBN 978-3319639154. This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering...
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Springer, 2019. — 105 p. Data-intensive systems are a technological building block supporting Big Data and Data Science applications. This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more advanced technical reference literature that dominates the current landscape. The material in the book is structured...
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Springer, 2018. — 409 p. — (Lecture Notes in Networks and Systems 49). — ISBN 3319977180. This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services. The majority of the book is devoted to the security aspects of cloud computing and...
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