BIG DATA 2e

Chapter 1 Wholeness of Big Data
Chapter 2 Big Data Sources and Applications
Chapter 3 Big Data Architecture
Chapter 4 Distributed Computing Using Hadoop
Chapter 5 Parallel Processing with Map Reduce
Chapter 6 NoSQL Databases
Chapter 7 Stream Processing with Spark
Chapter 8 Data Ingest with Kafka
Chapter 9 Cloud Computing
Chapter 10 Big Data Programming Languages
Chapter 11 Web Log Analyzer Application Development
Chapter 12 Data Modelling Primer
Chapter 13 Data Analytics Primer
Chapter 14 Artificial Intelligence Primer
Chapter 15 Data Science Careers


   Appendix 1 Installing Hadoop Using Cloudera on Virtual Box 
   Appendix 2 Installing Hadoop on Amazon Web Services (AWS) Elastic Compute Cluster (EC2) 
   Appendix 3 Spark Installation and Tutorial 


Index

Overview 
This thoroughly revised second edition introduces application of big data to various domains --- from farming to healthcare to managing traffic and many more. The book takes a big leap with introduction of three new primer on Data Modeling and Management, Artificial Intelligence and careers in Data Science. Important topics like Big Data Programming languages are simplified and areas like MongoDB expanded. The key concepts and technological developments are explained with illustrations.
This simple and easy to understand book is aimed at final year students of Computer Science, professionals and big data enthusiasts.
With a series of pictures at the beginning of every chapter from nature and human interaction with it, the book tells a parallel story about life cycle and the many aspects of big data.




Key Features
• Covers Big Data applications in primary education, water resource management, precision farming, finance, etc.
• A new chapter on Data Science careers and job roles 
• A primer on Artificial Intelligence, and it advantages and threats
• A primer on Data Modeling and Management
• New section on General Data Protection Rights (GDPR) regime in Europe 

• Big Data