Big Data: A Tutorial-Based Approach
Authors: Nasir Raheem
ISBN-10: 0367183455
ISBN-13: 9780367183455
Edition 版本: 1
Released: 2019-02-25
Pages: 202 pages
Book Description
Big Data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System,(ii) Hadoop Distributed File System Infrastructure,and (iii) efficient MapReduce processing. The book includes Use Cases and Tutorials to provide an integrated approach that answers the ‘What’,‘How’,and ‘Why’ of Big Data.
Features
Identifies the primary drivers of Big Data
Walks readers through the theory,methods and technology of Big Data
Explains how to handle the 4 V’s of Big Data in order to extract value for better business decision making
Shows how and why data connectors are critical and necessary for Agile text analytics
Includes in-depth tutorials to perform necessary set-ups,installation,configuration and execution of important tasks
Explains the command line as well as GUI interface to a powerful data exchange tool between Hadoop and legacy r-dbms databases
Contents
List of Tutorials
List of Figures/llustrations
Foreword
Preface
Acknowledgements
Author
Chapter 1: Introduction to Big Data
Chapter 2: Big Data lmplementation
Chapter 3: Big Data Use Cases
Chapter 4: Big Data Migration
Chapter 5: Big Data Ingestion,Integration,and
Management
Chapter 6: Big Data Repository
Chapter 7: Big Data Visualization
Chapter 8: Structured and Un-Structured Data Analytics
Chapter 9: Data Virtualization
Chapter 10: Cloud Computing
SELF-ASSESSMENT QUIZ
ANSWERS TO THE SELF-ASSESSMENT QUIZ
REFERENCES
INDEX
