Kevin Feeney, Jim Davies, James Welch, Sebastian Hellmann, Christian Dirschl, Andreas Koller, Pieter Francois, Arkadiusz Marciniak. — River Publishers, 2018. — 436 p. — ISBN: 978-87-7022-016-3. To be effective, data-intensive systems require extensive ongoing customization to reflect changing user requirements, organizational policies, and the structure and interpretation of...
NSTA Press, 2017. — 225 p. — ISBN13: 978-1681402765. Now your students can transform their mobile phones and tablets into tools for learning about everything from weather to water quality. Big Data, Small Devices shows you how. This book is designed for Earth and environmental science teachers who want to help students tap into, organize, and deploy large data sets via their...
2nd Edition. — O’Reilly Media, 2019. — 72 p. Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them...
O’Reilly Media, Inc., 2015. — 330 p. — ISBN: 978-1-491-90142-7. Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them...
Wiley. 2017. — 432 p. — ISBN: 978-1119247043. The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies. The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end,...
IGI Global, 2016. — 2478 p. — ISBN: 978-1466698406. 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...
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...
Boca Raton: CRC Press, 2013. — 293 p. With the growing barrage of "big data," it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. That’s where analytics come into play. Research shows that organizations that use business analytics to guide their decision making are more productive and experience higher returns...
CRC Press, 2020. — 444 p. — (Chapman & Hall/CRC Data Science Series). — ISBN-13: 978-1-138-39329-5. Probability and Statistics for Data Science: Math + R + Data covers “math stat”― distributions, expected value, estimation etc. ― but takes the phrase “Data Science” in the title quite seriously: Real datasets are used extensively. All data analysis is supported by R coding....
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....
Taylor & Francis Group LLC, CRC Press, 2019. — 203 p. — ISBN13: 978-0-367-18345-5. Big data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File...
Wei Ren, Lizhe Wang, Kim-Kwang Raymond Choo, Fatos Xhafa. — CPI Group (UK) Ltd, 2019. — 330 p. — ISBN: 978-1-78561-747-8. As big data becomes increasingly pervasive and cloud computing utilization becomes the norm, the security and privacy of our systems and data becomes more critical with emerging security and privacy threats and challenges. This book presents a comprehensive...
Academic Press/Elsevier, 2021. — 147 p. Big Data permeates all aspects of modern life, and while there is no shortage of potential benefits resulting from this, author Henrik Skaug Saetra argues that we must also understand the threats Big Data poses to liberty. The issues discussed in Big Data’s Threat to Liberty: Surveillance, Nudging, and the Curation of Information is...
CRC Press, 2018. — 413 p. — ISBN: 978-1-138-03239-2 The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of...
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...
Comments