Big Data Analytics

Concepts, Techniques, Tools and Technologies
Erscheinungsjahr 2022
ISBN: 978-93-91818-36-4
Verlag: PHI Learning

Buch, Englisch, 416 Seiten, Paperback

Designed for the students of B.E./B.Tech (Computer Science and Engineering/IT), M.Sc (Computer Science), MCA, and M.Sc (Data Science), this textbook mainly focuses on issues and solutions concerned with data explosion problems. Without the prior knowledge of database world, the reader of this book can easily understand the evolution of database technology in handling big data.

With a focus on the analytical theory to handle high dimensional data, this text also presents illustrations using analytical tool R. The role of real-time system architecture and platforms, Hadoop ecosystem components and NoSQL database MongoDB to handle big data is also elaborated. Each chapter ends with exercise problems and multiple-choice questions, which will motivate the readers to further analyse the applicability of concepts.

Distinctive Features - Worked out coding using R and MongoDB and related questions using these platforms
- Various analytical techniques with sample data (such as clustering, classification, rough set theory, association rules)
- Basics of real-time processing, issues and remedies
- Several types of data, including time-series data, correlations among data and remedial techniques to handle the issues raised in the underlying domain
- Case studies/examples for in-depth understanding among the students

TARGET AUDIENCE - B.E./B.Tech (Computer Science and Engineering/IT)
- M.Sc (Computer Science/Data Science)
- MCA

Autoren/Hrsg.

Fachgebiete

• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Mathematik | Informatik EDV | Informatik Informatik

Inhaltsverzeichnis

- Preface
- Foreword
- Chapter 1: Overview of Data Explosion and Big Data Analytics
- Chapter 2: Analytical Theory
- Chapter 3: Real Time Analysis
- Chapter 4: Big Data Analytics Tools and Technologies
- Chapter 5: Understanding NoSQL and Hadoop Ecosystem
- Chapter 6: High Dimensional Data: A Big Data Perspective
- Chapter 7: Information Retrieval: Big Data Integration and Processing
- Chapter 8: R Programming
- Chapter 9: Overview of MongoDB and MongoDB with R Programming
- Bibliography
- Index

Über Autor(innen)

M. Thangaraj, PhD, is Senior Professor and Head of Department of Computer Science, Madurai Kamaraj University. With over three decades of teaching experience in University, besides multiple administrative responsibilities, he has remarkable research experience with patents, plenty of publications and rich experience in research guidance and projects. Dr. Thangaraj has served as an expert in many academic committees at the national and international levels.

S. Suguna, PhD, is with PG and Research Department of Computer Science, Sri Meenakshi Government Arts College for Women (Autonomous), Tamilnadu. She has empowered many young minds with her excellent teaching and research skills. She has contributed to patenting, publishing in reputed journals, book chapters and presenting papers in national and international level technical conferences. She has also organized and served as an expert in national and international conferences, seminars, workshops and research programs.

G. Sudha, is with PG and Research Department of Computer Science, Sri Meenakshi Government Arts College for Women (Autonomous). She has published several research articles in reputed journals, books and conference proceedings.