Bharat Book Bureau
Big Data is much more than its technical definition implies: A collection of data sets so large and complex that it becomes difficult to process using on-hand database management tool. From a business perspective, Big Data represents a major inflection point for the ICT and Telecom sectors as it will transform business asset utility and value forever more. http://www.bharatbook.com/
Every large corporation collects and maintains a huge amount of data associated with its customers including their preferences, purchases, habits, travels, and other personal information. However, value realization and the implications for using this data is often little understood and underappreciated.
This research evaluates Big Data challenges including management, mining, and analytics as well as the impact on telecom and ICT systems. This research also analyzes Big Data in key industry verticals including healthcare, government, manufacturing, energy, and transportation. This report also assesses Big Data within government including homeland security, defense, and law enforcement. The report includes a market value assessment for Big Data in telecommunications and industry verticals.
Target Audience:
Any governmental agency
Fortune 1000 corporations of all types
Database and related infrastructure providers
ICT infrastructure and service providers of all types
Data aggregators, storage and management providers
Telecommunications infrastructure and service providers
1.0 EXECUTIVE SUMMARY 5
2.0 INTRODUCTION 6
2.1 WHAT IS BIG DATA 7
2.2 WHY IS BIG DATA IMPORTANT 8
2.3 GENERAL IMPACTS OF BIG DATA ON TELECOM AND ICT 8
2.3.1 SIGNIFICANT IMPACT AREAS 9
3.0 BIG DATA TECHNOLOGIES AND PLATFORMS 10
3.1 BIG DATA TECHNIQUES 11
3.2 MAPREDUCE 15
3.2.1 HADOOP 16
3.2.2 GOOGLE'S CAFFEINE 17
3.2.3 MEMCACHE 18
3.2.4 APPENGINE 18
3.2.5 REDIS 19
3.2.6 AMAZON'S DYNAMO DATABASE 19
3.2.7 MAPR 23
4.0 DATA MINING AND MANAGEMENT IN TELECOMMUNICATIONS 26
4.1.1 DATA MINING TOOLS AND TECHNIQUES 27
4.1.2 THE PERFORMANCE OF DATA MINING TECHNIQUES WHEN APPLIED TO CHURN PREDICTION 29
4.1.3 DATA MINING FOR CALLS 29
4.1.4 DATA MINING IN DATA NETWORKS 30
4.1.5 DATA MINING IN CUSTOMERS DATA AND ITS PRIVACY 30
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