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BIG DATA ANALYTICS
Publisher:
OXFORD INDIA
| Author:
G. Sudha Sadasivam and R. Thirumahal
| Language:
English
| Format:
Paperback
Publisher:
OXFORD INDIA
Author:
G. Sudha Sadasivam and R. Thirumahal
Language:
English
Format:
Paperback
₹650 ₹520
Save: 20%
In stock
Ships within:
1-4 Days
In stock
ISBN:
SKU
9780199497225
Category Uncategorized
Category: Uncategorized
Page Extent:
432
Big data analytics presents a comprehensive treatment of the subject for undergraduate and postgraduate students of computer Science and engineering, information Technology, and other related disciplines. The book has been written to cover the basics of analytics before moving to big data and its analytics. It seeks to translate the theory behind big data into principles and practices for a data analyst. Key features chapter outlines and learning outcomes listed at the start of each chapter illustrative discussion on big data frameworks and infrastructure algorithms for data analytics on big data frameworks and tools solved numerical examples to supplement the text practice exercises and codes for various case studies on Hadoop, R, Spark, MongoDB, storm, and Neo4j interview questions highlighted as boxed items in each chapter point-wise summary at the end of each chapter to enable quick revision chapter-end exercises comprising objective-type questions with answers, critical thinking questions, descriptive type questions, and numerical exercises.
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Description
Big data analytics presents a comprehensive treatment of the subject for undergraduate and postgraduate students of computer Science and engineering, information Technology, and other related disciplines. The book has been written to cover the basics of analytics before moving to big data and its analytics. It seeks to translate the theory behind big data into principles and practices for a data analyst. Key features chapter outlines and learning outcomes listed at the start of each chapter illustrative discussion on big data frameworks and infrastructure algorithms for data analytics on big data frameworks and tools solved numerical examples to supplement the text practice exercises and codes for various case studies on Hadoop, R, Spark, MongoDB, storm, and Neo4j interview questions highlighted as boxed items in each chapter point-wise summary at the end of each chapter to enable quick revision chapter-end exercises comprising objective-type questions with answers, critical thinking questions, descriptive type questions, and numerical exercises.
About Author
G. Sudha Sadasivam is Professor and Head of the Department of Computer Science and Engineering, PSG College of Technology, Tamil Nadu. Her areas of interest include distributed computing and big data analytics. R. Thirumahal is Assistant Professor (Selection Grade) in the Department of Computer Science and Engineering, PSG College of Technology, Tamil Nadu. Her areas of expertise include data integration, big data analytics, and machine learning.
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