Encyclopedia of Big Data

The Encyclopedia of Big Data is a comprehensive reference book that covers the topic of Big Data from a multi-disciplinary, cross-sectoral, and international perspective. It will be an essential resource for researchers, students, decision-makers, and leaders, and will provide a common platform and language for different segments, sectors, and disciplines.

Format: Hardback
Length: 976 pages
Publication date: 23 February 2022
Publisher: Springer International Publishing AG

In the ever-evolving landscape of our times, a remarkable phenomenon is taking shape: the emergence of an encyclopedia dedicated to the vast realm of Big Data. This encyclopedia stands as a testament to the fact that we are currently immersed in a world that is rapidly expanding, driven by the relentless force of data and information. Technological advancements, alongside myriad related trends, have played a pivotal role in the creation of an awe-inspiring and exponentially growing collection of data and information, commonly referred to as "Big Data." The sheer magnitude of this data is staggering, as it encompasses a vast expanse of information generated from the countless transactions and input of millions and millions of individuals across the globe.

Social media and crowdsourcing platforms, along with a multitude of applications known as "apps," have emerged as powerful sources of information, capturing the essence of our daily lives and environment in real-time. The Internet-of-Things (IoT), projected to encompass tens of billions of objects by the end of this decade, actively senses and collects intelligence on virtually every facet of our existence. The Global Positioning System (GPS) and other location-aware technologies provide precise data down to latitude and longitude coordinates and even seconds of the day.

Large-scale instruments, such as the Large Hadron Collider (LHC), are diligently gathering massive amounts of data about our planet and even distant corners of the visible universe. Furthermore, the digitization of documents, driven by innovations in technology, is transforming vast collections of printed materials into digital archives, resulting in the growth of enormous repositories of unstructured data.

In this era of rapid technological progress, advancements in Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), among other fields, are expanding our capacity to store, manage, and analyze Big Data to unprecedented levels. Recognizing the ever-growing demand for knowledge and understanding in this domain, the Encyclopedia of Big Data is being presented as a valuable resource for our times.

As we navigate the transition from gigabytes to terabytes and beyond, this encyclopedia serves as a comprehensive guide to the world of Big Data. It encompasses a wide range of topics, from the fundamentals of data management and processing to the latest applications and trends in this field. By providing a comprehensive and accessible platform for information dissemination, the Encyclopedia of Big Data aims to empower individuals, organizations, and societies to harness the power of data and make informed decisions in an increasingly data-driven world.

Weight: 2054g
Dimension: 254 x 178 (mm)
ISBN-13: 9783319320090
Edition number: 1st ed. 2022