Big Data in ICT and Telecom: Transforming Industry Verticals 2012 - 2017

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.
 
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

Table of Contents
 
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 ICT8
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 APPENGINE18
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 NETWORKS30
4.1.5 DATA MINING IN CUSTOMERS DATA AND ITS PRIVACY  30

5.0 ANALYTICS  32
5.1 BIG DATA IT ANALYTICS32
5.1.1 BENEFITS OF THE BIG DATA IT ANALYTICS     33

6.0 BIG DATA AND TELECOM 35
6.1 4G DRIVES GREATER USAGE AND MORE DATA   35
6.2 BIG DATA AND SUBSCRIBER DATA MANAGEMENT (SDM)     40
6.2.1 SUBSCRIBER OPERATIONAL DATA    42
6.3 BIG DATA AND MOBILE COMMERCE/MARKETING    43
6.3.1 CASE STUDY: BIG DATA ANALYTICS + M-COMMERCE + SOCIAL MEDIA= COMMERCIAL SUCCESS 44
6.4 BIG DATA IN NEAR FIELD COMMUNICATION  45

7.0 BIG DATA AND ICT   47
7.1 MANAGING PUBLIC AND PRIVATE DATA SOURCES  47
7.2 DATA MANAGEMENT TECHNOLOGIES AND SOLUTIONS48
7.2.1 DATA AGGREGATION    49
7.2.2 DATA STORAGE50

8.0 BIG DATA IN INDUSTRY VERTICALS  51
8.1 HEALTHCARE 51
8.2 GOVERNMENT  51
8.2.1 HOMELAND SECURITY   52
8.2.2 DEPARTMENT OF DEFENSE  52
8.3 CRIME PREVENTION  53
8.4 MANUFACTURING  54
8.5 ENERGY AND SMARTGRID   56
8.6 TRANSPORTATION  63

9.0 BIG DATA SERVERS IN THE CLOUD    65
9.1 CLOUD-BASED DATA MANAGEMENT 65
9.2 CASE STUDY: AMAZON WEB SERVICE AND CLOUD INFRASTRUCTURE 66
9.3 BIG DATA IN THE CLOUD APPLICATIONS68
9.3.1 GRID COMPUTING  68
9.3.2 CASE STUDY: HOW TO USE GRID COMPUTING TO SAVE IT COSTS  69
9.3.3 TRANSACTION SYSTEMS  75
9.3.4 DEPLOYING CLOUD COMPUTING     76
9.3.5 CLOUD FORMATION  80
9.4 CLOUD DEPLOYMENT SCENARIOS    83
9.4.1 SCENARIO 183
9.4.2 SCENARIO 284
9.4.3 CASE STUDY: CLOUD AND THE RETURN ON INVESTMENT (ROI)   87
9.5 GOOGLE BUSINESS MODEL AND CLOUD STRATEGY  90
9.5.1 MARKET STRATEGY 90
9.6 GOOGLE APPS MARKETPLACE AND MOBILE APPLICATIONS 92
9.6.1 GOOGLE CLOUDS     94
9.6.2 ECONOMIC OF THE CLOUD AND ITS BENEFITS FOR GOOGLE 94
9.6.3 SWOT ANALYSIS FOR GOOGLE CLOUD SERVICES95
9.6.4 GOOGLE MOBILE CLOUDS POTENTIALS IN THE MOBILE COMMERCE INDUSTRY   97
9.7 NFC PAYMENT VS CLOUD-BASED PAYMENTS 100
9.8 CASE STUDY: BIG DATA IN THE CLOUD AND ITS BENEFITS 100
9.9 CLOUD ARCHITECTURES102
9.10 CLOUDS TECHNOLOGIES  103
9.11 CLOUD-BASED SERVICE IMPLEMENTATION  103
9.11.1 FOR IT PROVIDERS   103
9.11.2 FOR DEVELOPERS     105
9.11.3 FOR BUSINESS   106
9.11.4 BIG DATA IN THE CLOUD CASE STUDY: PIXAR 108
9.11.5 FOR CONSUMER USE     108
9.11.6 FOR GOVERNMENT USE  109
9.12 ANTICIPATED TRENDS, APPLICATIONS, AND PATENTS    110

10.0 BIG DATA MARKET VALUE   117
10.1 BIG DATA IN TELECOMMUNICATION 118
10.2 BIG DATA IN INDUSTRY VERTICALS  118