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...
2nd Edition. — BPB Publications, 2024. — 548 p. — ISBN 978-93-55516-664. Большие данные и Hadoop: основы, инструменты и методы достижения успеха на основе данных In today's data-driven world, harnessing the power of big data is no longer a luxury, but a necessity. This comprehensive guide, "Big Data and Hadoop," dives deep into the world of big data and equips you with the...
John Wiley and Sons, Inc., 2024. — 320 р. — ISBN 978-1119800996. A step-by-step guide for business leaders who need to manage successful big data projects Leading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data takes you through the entire process of guiding an analytics initiative from inception to execution. You'll learn which aspects of the...
John Wiley & Sons, Inc., 2024. — 816 p. — ISBN 978-1-119-86337-3. An essential introduction to data analytics and Machine Learning techniques in the business sector In Financial Data Analytics with Machine Learning, Optimization and Statistics, a team consisting of a distinguished applied mathematician and statistician, experienced actuarial professionals and working data...
Springer, 2021. - 411p. - ISBN: 9783030681753 This book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support...
De Gruyter, 2025. — 348 p. — (Intelligent Computing, 2). — ISBN 978-3-11-134458-4. Through the application of cutting-edge techniques like Big Data, Data Mining, and Data Science, it is possible to extract insights from massive datasets. These methodologies are crucial in enabling informed decision-making and driving transformative advancements across many fields, industries,...
Springer, 2020. — 325 p. — ISBN: 978-3-030-39249-9. This book contains 16 chapters by researchers working in various fields of data science. They focus on theory and applications in language technologies, optimization, computational thinking, intelligent decision support systems, decomposition of signals, model-driven development methodologies, interoperability of enterprise...
Springer International Publishing, 2019. — 415 p. — ISBN: 978-3-030-12048-1 (eBook). This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualisation, predictive analytics, data warehousing, data...
Author not specified. — Vibrant Publishers, 2017. — 160 p. — ISBN-13 978-1946383488. • 200 Hadoop BIG DATA Interview Questions • 76 HR Interview Questions • Real life scenario based questions • Strategies to respond to interview questions • Free 2 Aptitude Tests online Hadoop BIG DATA Interview Questions You’ll Most Likely Be Asked is a perfect companion to stand ahead above...
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...
Bentham Books, 2023. — 392 р. — (IoT and Big Data Analytics (Volume 3)). — ISBN: 978-981-5079-94-4. Big Data is playing a vital role in HCI projects across a range of industries: healthcare, cybersecurity, forensics, education, business organizations, and scientific research. Big data analytics requires advanced tools and techniques to store, process and analyze the huge volume...
IGI Global, 2019. — 608 p. — ISBN: 978-1522574330. The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT...
Academic Press, 2020. — 242 p. — ISBN: 978-0-12-815746-6. This book helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away...
BPB Publications, 2024. — 467 p. Unveiling insights, unleashing potential: Navigating the depths of Big Data and analytics for a data-driven tomorrow. Key Features: - Learn about Big Data and how it helps businesses innovate, grow, and make decisions efficiently. - Learn about data collection, storage, processing, and analysis, along with tools and methods. - Discover real-life...
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...
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,...
ASQ Quality Press, 2021. — 198 p. More organizations and their leaders are looking to Big Data to transform processes and elevate the quality of products and services. Yet, gathering and storing large amounts of data isn't the quick fix often sought after. Without analysts-the human component-to interpret that data, the cost of incorrect or misinterpreted data can greatly...
CRC Press, 2023. — 266 р. — ISBN: 978-1-003-32134-7. Building a data-driven organization (DDO) is an enterprise-wide initiative that may consume and lock up resources for the long term. Understandably, any organization considering such an initiative would insist on a roadmap and business case to be prepared and evaluated prior to approval. This book presents a step-by-step...
Prabhu C.S.R., Chivukula A.S., Mogadala A., Ghosh R., Livingston L.M.J. — Springer, 2019. — 422 p. — ISBN: 978-981-15-0093-0. This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem....
2nd Edition. — Springer, 2023. — 492 p. — ISBN 978-3-031-17441-4. This textbook comprehensively covers both fundamental and advanced topics related to Data Science. Data Science is an umbrella term that encompasses data analytics, data mining, Machine Learning, and several other related disciplines. The chapters of this book are organized into three parts: The first part...
CRC Press; Taylor & Francis Group, 2020. — 234 p. — ISBN13: 978-1-003-02474-3. Digital forensics has recently gained a notable development and become the most demanding area in today’s information security requirement. This book investigates the areas of digital forensics, digital investigation and data analysis procedures as they apply to computer fraud and cybercrime, with...
Shitharth Selvarajan, Gouse Baig Mohammad, Sadda Bharath Reddy, Praveen Kumar Balachandran. — CRC Press, 2025. — 215 р. — ISBN: 978-1032663005. Big Data and Blockchain Technology for Secure IoT Applications presents a comprehensive exploration of the intersection between two transformative technologies: big data and blockchain, and their integration into securing Internet of...
The MIT Press, 2022. — 280 р. — ISBN-13: 978-0262047470. The entanglements of people and data, code and space, knowledge and power: how data and algorithms shape the world–and shape us within that world. With the emergence of a post-truth world, we have witnessed the dissolution of the common ground on which truth claims were negotiated, individual agency enacted, and public...
Amazon Digital Services LLC, 2016. — 56 p. — ASIN: B01DE10HAO Today we live in the world of internet of things. With increased digitization there has been an unprecedented increase in the quantity and variety of data generated worldwide. The enterprise does not know what to do with the data and how to extract information from this data. This data explosion has led to the term...
Columbia Business School Publishing, 2023-05-23. — 296 р. — ISBN-13: 978-0231200608. If you want to win an election, improve the health of a city, or thrill your customers, you’re going to need precision systems–the highly engineered working arrangements of teams, processes, and technologies that put data and AI to work creating the change that leaders want, exactly how they...
Atlantis Press, 2016. — 133 p. — ISBN 978-94-6239-183-3. This book demonstrates the inevitability of a continuously growing role of data in our society and it stresses that this role does not need to be threatening: to the contrary, collection and analysis of data can help us prevent traffic jams, suppress epidemics, or produce tailor made medicine. The authors sketch the...
IGI Global, 2024. — 310 p. — ISBN-13: 979-8-3693-4293-0. In an era defined by the deluge of data, navigating the complexities of decision-making under conditions of uncertainty has emerged as a formidable challenge for scholars and practitioners alike. The sheer volume and velocity of information inundating decision-makers often leads to paralysis or misguided choices,...
Elsevier Inc., 2023. — 222 p. — ISBN: 978-0-443-18428-4. Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile...
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