Big Data Processing Using Spark in Cloud (eBook)

Artikelnummer: 978-981-1305-50-4
Einband: PDF
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The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data's immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data.

The book is intended for data engineers and scientists working on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments.


The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data's immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data.

The book is intended for data engineers and scientists working on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments.


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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2018
Seitenangabe264 S.
AusgabekennzeichenEnglisch
AbbildungenXIII, 264 p. 89 illus., 62 illus. in color.
Auflage1st ed. 2019
PlattformPDF
ReiheStudies in Big Data
AutorMittal, Mamta (Hrsg.) / Balas, Valentina E. (Hrsg.) / Goyal, Lalit Mohan (Hrsg.) / Kumar, Raghvendra (Hrsg.)

Alle Bände der Reihe "Studies in Big Data"

Über den Autor Mamta (Hrsg.) Mittal

Dr. Mamta Mittal is working as Associate Professor & Program Incharge for Data Analytics and Data Science at Delhi Skill and Entrepreneurship University, New Delhi (under Government of NCT Delhi). She has received Ph.D. in Computer Science and Engineering from Thapar University, Patiala; MTech (Honors) in Computer Science & Engineering from YMCA,Faridabad and B.Tech in Computer Science & Engineering from Kurukshetra University Kurukshetra. From three consecutive years (2022 to 2024), Stanford University (USA) listed Dr. Mamta Mittal in world Top 2% Scientists list. She has been teaching for the last 21 years with emphasis on Data Mining, Machine Learning, DBMS and Data Structure. Dr. Mittal is a Life time member of CSI and published more than 100 research papers in SCI, SCIE, Scopus indexed Journals. She holds five patents and two copyrights in the area of Artificial Intelligence, IoT and Deep Learning. Dr. Mittal has edited/authored many books with reputed publishers like Springer, IOS Press, Elsevier CRC Press etc. and working on DST approved Project "Development of IoT based hybrid navigation module for midsized autonomous vehicles" with research grant of 25 Lakhs. Currently, she is guiding PhD scholars in the field of Machine Learning and Deep Learning. She is Editor of book Series Edge AI in future Computing with CRC Press, Taylor & Francis, USA. Dr. Mittal is member of Editorial Board with InderScience, Bentham Science, Springer and Elsevier and Associate Editor with SCIE Indexed journal of Springer. Dr. Bharat Bhushan is an Associate Professor of Department of Computer Science and Engineering (CSE) at School of Engineering and Technology, Sharda University, Greater Noida, India. For the three consecutive years (2021 to 2023), Stanford University (USA) listed Dr. Bharat Bhushan in the top 2% scientists list. He received his Undergraduate Degree (B-Tech in Computer Science and Engineering) with Distinction in 2012, received his Postgraduate Degree (M-Tech in Information Security) with Distinction in 2015 and Doctorate Degree (PhD Computer Science and Engineering) in 2021 from Birla Institute of Technology, Mesra, India. He earned numerous international certifications such as CCNA, MCTS, MCITP, RHCE and CCNP. He has published more than 150 research papers in various renowned International Conferences and SCI indexed journals including Journal of Network and Computer Applications (Elsevier), Wireless Networks (Springer), Wireless Personal Communications (Springer), Sustainable Cities and Society (Elsevier) and Emerging Transactions on Telecommunications (Wiley). He has contributed with more than 50 book chapters in various books and has edited 30 books from the most famed publishers like Elsevier, Springer, Wiley, IOP Press, IGI Global, and CRC Press. He is a series editor of 2 prestigious Scopus Indexed Book Series named CMIA (Computational Methods for Industrial Applications) and FGIS (Future Generation Information System) published by CRC Press, Taylor and Francis, USA. He has served as Keynote Speaker (resource person) in numerous reputed Faculty Development Programs and International Conferences held in different countries including India, Iraq, Morocco, China, Belgium and Bangladesh. He has served as a Reviewer/Editorial Board Member for several reputed international journals. In the past, he worked as an assistant professor at HMR Institute of Technology and Management, New Delhi and Network Engineer in HCL Infosystems Ltd., Noida. In addition to being the Senior Member of IEEE, he is also a member of numerous renowned bodies including IAENG, CSTA, SCIEI, IAE and UACEE.

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