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  • Produktbild: Big Data Processing Using Spark in Cloud
  • Produktbild: Big Data Processing Using Spark in Cloud
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Big Data Processing Using Spark in Cloud

Aus der Reihe Studies in Big Data
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95,99 € UVP 109,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.12.2018

Abbildungen

XIII, 89 illus., 62 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Mamta Mittal + weitere

Verlag

Springer Singapore

Seitenzahl

264

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

429 g

Auflage

Softcover reprint of the original 1st edition 2019

Sprache

Englisch

ISBN

978-981-13-4448-0

Beschreibung

Portrait

Mamta Mittal, Ph.D. , is currently working at G.B. Pant Govt. Engineering College, Okhla, New Delhi. She graduated with a degree in Computer Science & Engineering from Kurukshetra University and received her Master’s degree (Honors) in Computer Science & Engineering from YMCA, Faridabad. She subsequently completed her Ph.D. in Computer Science and Engineering at Thapar University, Patiala.  She has been teaching for the past 15 years with a focus on data mining, DBMS, operating systems and data structures. She is an active member of the CSI and IEEE.

Valentina E. Balas, Ph.D. , is currently a Full Professor at the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 270 research papers in refereed journals and for international conferences. Her research interests are in intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling and simulation. She is the Editor-in-Chief of the International Journal of Advanced Intelligence Paradigms (IJAIP) and International Journal of Computational Systems Engineering (IJCSysE), serves on the Editorial Board of several national and international journals, and as an evaluator expert for national and international projects. She was General Chair of the International Workshop on Soft Computing and Applications held in Romania and Hungary (2005-2016).

Lalit Mohan Goyal, Ph.D. , received his B.Tech (Honors) in Computer Science & Engineering from Kurukshetra University, his M.Tech (Honors) in Information Technology from Guru Gobind Singh Indraprastha University, New Delhi, and his Ph.D. in Computer Engineering from Jamia Millia Islamia, New Delhi. He has 14 years of teaching experience in the areas of parallel and random algorithms and theory of computation. Presently, he is working at Bharati Vidyapeeth’s College of Engineering, New Delhi.

Raghvendra Kumar, Ph.D. , is currently an Assistant Professor at the Department of Computer Science and Engineering, LNCT College, Jabalpur, and at Jodhpur National University, Rajasthan, India. He completed his Bachelor of Technology at SRM University, Chennai and his Master of Technology at KIIT University, Odisha. His research interests include graph theory, discrete mathematics, robotics, cloud computing and algorithms. He also works as a reviewer, and an editorial and technical board member for various journals.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.12.2018

Abbildungen

XIII, 89 illus., 62 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer Singapore

Seitenzahl

264

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

429 g

Auflage

Softcover reprint of the original 1st edition 2019

Sprache

Englisch

ISBN

978-981-13-4448-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Big Data Processing Using Spark in Cloud
  • Produktbild: Big Data Processing Using Spark in Cloud
  • Concepts of Big Data and Apache Spark.- Big Data Analysis in Cloud and Machine Learning.- Security Issues and Challenges related to Big Data.- Big Data Security Solutions in Cloud.- Data Science and Analytics.- Big Data Technologies.- Data Analysis with Casandra and Spark.- Spin up the Spark Cluster.- Learn Scala.- IO for Spark.- Processing with Spark.- Spark Data Frames and Spark SQL.- Machine Learning and Advanced Analytics.- Parallel Programming with Spark.- Distributed Graph Processing with Spark.- Real Time Processing with Spark.- Spark in Real World.- Case Studies.