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Big Data Technologies and Analytics AI, IoT and Blockchain Technology

Category: eBooks



Big Data Technologies and Analytics AI, IoT and Blockchain Technology

Big Data Technologies and Analytics AI, IoT and Blockchain Technology | 7.79 MB

Title: Big Data Technologies and Analytics AI, IoT and Blockchain Technology
Author: Aparna Kumari
Category: Database Management, Mathematics, Computer Science, Artificial Intelligence
Language: English | 226 Pages | ISBN: 9781394280285



Description:

Understand the future of a thriving research toolkit with this introduction to big data analytics
In recent decades, big data analytics has undergone rapid growth to become an essential tool in a variety of research and technological fields. Advances in technology and the rise of the internet led to an explosion in the volume of data available, and as data processing capabilities continue to improve, further expansion in this field is certain. It has never been more important to understand the state of this vital field and its likely applications in new areas of research.
Big Data Technologies and Analytics offers a thought-provoking investigation of this thriving field and its major touchstones, including artificial intelligence, the internet of things, blockchain, and more. It explores how these technologies are transforming industries and enabling a huge range of data-driven strategies. Addressing the topic of quantum computing and its potential to handle even larger datasets and computational issues, the book promises to point towards revolutionary developments in data analysis.
Big Data Technologies and Analytics readers will also find:

  • Findings connected to United Nations Sustainable Development Goals (SDGs)
  • Detailed discussion of big data topics including historical development, present-day innovations, and potential future directions
  • Treatment of application areas from predictive maintenance to smart cities to safe transactions and more

    Big Data Technologies and Analytics is ideal for students and researchers looking to understand the future of data analysis.



       
       
       


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