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

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

  • Published: September 2012
  • 118 Pages
  • Mind Commerce LLC

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:

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1.0 EXECUTIVE SUMMARY

2.0 INTRODUCTION

2.1 WHAT IS BIG DATA

2.2 WHY IS BIG DATA IMPORTANT

2.3 GENERAL IMPACTS OF BIG DATA ON TELECOM AND ICT

2.3.1 SIGNIFICANT IMPACT AREAS

3.0 BIG DATA TECHNOLOGIES AND PLATFORMS

3.1 BIG DATA TECHNIQUES

3.2 MAPREDUCE

3.2.1 HADOOP

3.2.2 GOOGLE'S CAFFEINE

3.2.3 MEMCACHE

3.2.4 APPENGINE

3.2.5 REDIS

3.2.6 AMAZON'S DYNAMO DATABASE

3.2.7 MAPR

4.0 DATA MINING AND MANAGEMENT IN TELECOMMUNICATIONS

4.1.1 DATA MINING TOOLS AND TECHNIQUES

4.1.2 THE PERFORMANCE OF DATA MINING TECHNIQUES WHEN APPLIED TO CHURN PREDICTION

4.1.3 DATA MINING FOR CALLS

4.1.4 DATA MINING IN DATA NETWORKS

4.1.5 DATA MINING IN CUSTOMERS DATA AND ITS PRIVACY

5.0 ANALYTICS

5.1 BIG DATA IT ANALYTICS

5.1.1 BENEFITS OF THE BIG DATA IT ANALYTICS

6.0 BIG DATA AND TELECOM

6.1 4G DRIVES GREATER USAGE AND MORE DATA

6.2 BIG DATA AND SUBSCRIBER DATA MANAGEMENT (SDM)

6.2.1 SUBSCRIBER OPERATIONAL DATA

6.3 BIG DATA AND MOBILE COMMERCE/MARKETING

6.3.1 CASE STUDY: BIG DATA ANALYTICS + M-COMMERCE + SOCIAL MEDIA= COMMERCIAL SUCCESS

6.4 BIG DATA IN NEAR FIELD COMMUNICATION

7.0 BIG DATA AND ICT

7.1 MANAGING PUBLIC AND PRIVATE DATA SOURCES

7.2 DATA MANAGEMENT TECHNOLOGIES AND SOLUTIONS

7.2.1 DATA AGGREGATION

7.2.2 DATA STORAGE

8.0 BIG DATA IN INDUSTRY VERTICALS

8.1 HEALTHCARE

8.2 GOVERNMENT

8.2.1 HOMELAND SECURITY

8.2.2 DEPARTMENT OF DEFENSE

8.3 CRIME PREVENTION

8.4 MANUFACTURING

8.5 ENERGY AND SMARTGRID

8.6 TRANSPORTATION

9.0 BIG DATA SERVERS IN THE CLOUD

9.1 CLOUD-BASED DATA MANAGEMENT

9.2 CASE STUDY: AMAZON WEB SERVICE AND CLOUD INFRASTRUCTURE

9.3 BIG DATA IN THE CLOUD APPLICATIONS

9.3.1 GRID COMPUTING

9.3.2 CASE STUDY: HOW TO USE GRID COMPUTING TO SAVE IT COSTS

9.3.3 TRANSACTION SYSTEMS

9.3.4 DEPLOYING CLOUD COMPUTING

9.3.5 CLOUD FORMATION

9.4 CLOUD DEPLOYMENT SCENARIOS

9.4.1 SCENARIO 1

9.4.2 SCENARIO 2

9.4.3 CASE STUDY: CLOUD AND THE RETURN ON INVESTMENT (ROI)

9.5 GOOGLE BUSINESS MODEL AND CLOUD STRATEGY

9.5.1 MARKET STRATEGY

9.6 GOOGLE APPS MARKETPLACE AND MOBILE APPLICATIONS

9.6.1 GOOGLE CLOUDS

9.6.2 ECONOMIC OF THE CLOUD AND ITS BENEFITS FOR GOOGLE

9.6.3 SWOT ANALYSIS FOR GOOGLE CLOUD SERVICES

9.6.4 GOOGLE MOBILE CLOUDS POTENTIALS IN THE MOBILE COMMERCE INDUSTRY

9.7 NFC PAYMENT VS CLOUD-BASED PAYMENTS

9.8 CASE STUDY: BIG DATA IN THE CLOUD AND ITS BENEFITS

9.9 CLOUD ARCHITECTURES

9.10 CLOUDS TECHNOLOGIES

9.11 CLOUD-BASED SERVICE IMPLEMENTATION

9.11.1 FOR IT PROVIDERS

9.11.2 FOR DEVELOPERS

9.11.3 FOR BUSINESS

9.11.4 BIG DATA IN THE CLOUD CASE STUDY: PIXAR

9.11.5 FOR CONSUMER USE

9.11.6 FOR GOVERNMENT USE

9.12 ANTICIPATED TRENDS, APPLICATIONS, AND PATENTS

10.0 BIG DATA MARKET VALUE

10.1 BIG DATA IN TELECOMMUNICATION

10.2 BIG DATA IN INDUSTRY VERTICALS

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