Big Data Analytics

Theory, Techniques, Platforms, and Applications

Ümit Demirbaga, Gagangeet Singh Aujla, Anish Jindal , Oğuzhan Kalyon

$291.95 $233.16

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Springer International Publishing AG
08 May 2024

Nursing & ancillary services; Power generation & distribution; Data capture & analysis; Machine learning

This book introduces readers to big data analytics. It covers the background to and the concepts of big data, big data analytics, and cloud computing, along with the process of setting up, configuring, and getting familiar with the big data analytics working environments in the first two chapters. The third chapter provides comprehensive information on big data processing systems - from installing these systems to implementing real-world data applications, along with the necessary codes. The next chapter dives into the details of big data storage technologies, including their types, essentiality, durability, and availability, and reveals their differences in their properties. The fifth and sixth chapters guide the reader through understanding, configuring, and performing the monitoring and debugging of big data systems and present the available commercial and open-source tools for this purpose. Chapter seven gives information about a trending machine learning, Bayesian network: a probabilistic graphical model, by presenting a real-world probabilistic application to understand causal, complex, and hidden relationships for diagnosis and forecasting in a scalable manner for big data. Special sections throughout the eighth chapter present different case studies and applications to help the readers to develop their big data analytics skills using various big data analytics frameworks.

The book will be of interest to business executives and IT managers as well as university students and their course leaders, in fact all those who want to get involved in the big data world.

By: Ümit Demirbaga, Gagangeet Singh Aujla, Anish Jindal, Oğuzhan Kalyon
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 1st ed. 2024
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031556388
ISBN 10: 3031556380
Pages: 284
Publication Date: 08 May 2024
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Dr. Gagangeet Singh Aujla [Senior Member, IEEE] is an Assistant Professor of Computer Science at Durham University, UK and a Fellow of Durham Energy Institute. Before this, he worked as a post-doctoral research associate at Newcastle University, a research associate at Thapar University (India), a visiting researcher at the University of Klagenfurt (Austria) and in various academic positions for over a decade. He received my PhD from Thapar University (India) and my master’s and bachelor’s degrees from the Punjab Technical University (India). He received the IEEE TCSC Award for Excellence in Scalable Computing (ECR) 2022 for contributions on research and development of sustainable edge-cloud continuum for resource-constrained smart environments. He also received ""Early-Career Award 2022 (Runner-up)"" from the IEEE TEMS TC on Blockchain and Distributed Ledger Technologies for contributions to the research and teaching in blockchain and distributed ledger technologies. He received the 2018 IEEE TCSC Outstanding PhD Dissertation Award for contributions to designing and developing methods for self-sustainable cloud data centres. He also received 2021 IEEE Systems Journal Best Paper Award and TIET Best Paper Award for his research articles. He worked on various funded research projects awarded by UKRI, EPSRC, the Department of Science and Technology (India), and the Austrian Federal Ministry of Education, Science and Research. He serves as Co-Secretary, IEEE UK and Ireland Diversity, Equality and Inclusion Committee and Environment Champion (Durham Greenscpace). He led the team organizing workshops (BlockSecSDN, BlockCPS, SecSDN and EdgeAI) with different IEEE Communication Society conferences like IEEE Infocom, IEEE Globecom, IEEE ICC, ACM/IEEE UCC and many more. Contributing to the research community, he serves as an Area Editor for Ad hoc Networks (Elsevier), an Associate Editor for IET Smart Grid, an Associate Editor for Concurrency and Computation: Practice and Experience (Wiley), and an Associate Editor for Frontier in Internet of Things. He has also served as a Guest Editor for IEEE Transaction on Industrial Informatics, IEEE Wireless Communications, IEEE Network, Neural Computing and Applications (Springer), Computer Communications (Elsevier), and Transactions on Emerging Telecommunications (Wiley). The main theme of his research is energy-efficient, resilient and intelligent surfaces (smart city, smart grid, IoT-Edge-Cloud systems, healthcare systems, drones). He published several research papers in the top tier transactions and journals (like, IEEE TKDE, IEEE TDSC, IEEE TVT, IEEE TNSM, IEEE TNSE, IEEE TITS, IEEE TSC, IEEE TCC, IEEE TSuSC, IEEE TGCN, IEEE TII, IEEE JSAC, IEEE IoTJ, IEEE System Journal, IEEE WCM, IEEE Communication Magazine, IEEE Network, IEEE Consumer Electronics Magazine, IEEE Internet Computing, IEEE IoT Magazine, IEEE Communication Standards Magazine) and conferences (like, IEEE ICC, IEEE Globecom, IEEE WoWMoM, IEEE Infocom, ACM Mobicom, ACM MobiHoc).