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

379 views
342 views

Published on

0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
379
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
14
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

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

  1. 1. Big Data in ICT and Telecom: Transforming Industry Verticals2012 - 2017Report Details:Published:September 2012No. of Pages: 118Price: Single User License – US$1995Big Data is much more than its technical definition implies: A collection of data sets so large andcomplex 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 Telecomsectors as it will transform business asset utility and value forever more.Every large corporation collects and maintains a huge amount of data associated with itscustomers including their preferences, purchases, habits, travels, and other personal information.However, value realization and the implications for using this data is often little understood andunderappreciated.This research evaluates Big Data challenges including management, mining, and analytics as wellas the impact on telecom and ICT systems. This research also analyzes Big Data in key industryverticals including healthcare, government, manufacturing, energy, and transportation. This reportalso assesses Big Data within government including homeland security, defense, and lawenforcement. The report includes a market value assessment for Big Data in telecommunicationsand 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 providersGet your copy of this report @http://www.reportsnreports.com/reports/192160-big-data-in-ict-and-telecom-transforming-industry-verticals-2012-2017.html
  2. 2. Major points covered in Table of Contents of this report includeTable of Contents1.0 EXECUTIVE SUMMARY 52.0 INTRODUCTION 62.1 WHAT IS BIG DATA 72.2 WHY IS BIG DATA IMPORTANT 82.3 GENERAL IMPACTS OF BIG DATA ON TELECOM AND ICT82.3.1 SIGNIFICANT IMPACT AREAS 93.0 BIG DATA TECHNOLOGIES AND PLATFORMS 103.1 BIG DATA TECHNIQUES 113.2 MAPREDUCE 153.2.1 HADOOP 163.2.2 GOOGLES CAFFEINE 173.2.3 MEMCACHE 183.2.4 APPENGINE183.2.5 REDIS 193.2.6 AMAZONS DYNAMO DATABASE 193.2.7 MAPR 234.0 DATA MINING AND MANAGEMENT IN TELECOMMUNICATIONS 264.1.1 DATA MINING TOOLS AND TECHNIQUES 274.1.2 THE PERFORMANCE OF DATA MINING TECHNIQUES WHEN APPLIED TO CHURNPREDICTION 294.1.3 DATA MINING FOR CALLS 294.1.4 DATA MINING IN DATA NETWORKS304.1.5 DATA MINING IN CUSTOMERS DATA AND ITS PRIVACY 305.0 ANALYTICS 325.1 BIG DATA IT ANALYTICS325.1.1 BENEFITS OF THE BIG DATA IT ANALYTICS 336.0 BIG DATA AND TELECOM 356.1 4G DRIVES GREATER USAGE AND MORE DATA 356.2 BIG DATA AND SUBSCRIBER DATA MANAGEMENT (SDM) 406.2.1 SUBSCRIBER OPERATIONAL DATA 426.3 BIG DATA AND MOBILE COMMERCE/MARKETING 436.3.1 CASE STUDY: BIG DATA ANALYTICS + M-COMMERCE + SOCIAL MEDIA=COMMERCIAL SUCCESS 446.4 BIG DATA IN NEAR FIELD COMMUNICATION 45
  3. 3. 7.0 BIG DATA AND ICT 477.1 MANAGING PUBLIC AND PRIVATE DATA SOURCES 477.2 DATA MANAGEMENT TECHNOLOGIES AND SOLUTIONS487.2.1 DATA AGGREGATION 497.2.2 DATA STORAGE508.0 BIG DATA IN INDUSTRY VERTICALS 518.1 HEALTHCARE 518.2 GOVERNMENT 518.2.1 HOMELAND SECURITY 528.2.2 DEPARTMENT OF DEFENSE 528.3 CRIME PREVENTION 538.4 MANUFACTURING 548.5 ENERGY AND SMARTGRID 568.6 TRANSPORTATION 639.0 BIG DATA SERVERS IN THE CLOUD 659.1 CLOUD-BASED DATA MANAGEMENT 659.2 CASE STUDY: AMAZON WEB SERVICE AND CLOUD INFRASTRUCTURE 669.3 BIG DATA IN THE CLOUD APPLICATIONS689.3.1 GRID COMPUTING 689.3.2 CASE STUDY: HOW TO USE GRID COMPUTING TO SAVE IT COSTS 699.3.3 TRANSACTION SYSTEMS 759.3.4 DEPLOYING CLOUD COMPUTING 769.3.5 CLOUD FORMATION 809.4 CLOUD DEPLOYMENT SCENARIOS 839.4.1 SCENARIO 1839.4.2 SCENARIO 2849.4.3 CASE STUDY: CLOUD AND THE RETURN ON INVESTMENT (ROI) 879.5 GOOGLE BUSINESS MODEL AND CLOUD STRATEGY 909.5.1 MARKET STRATEGY 909.6 GOOGLE APPS MARKETPLACE AND MOBILE APPLICATIONS 929.6.1 GOOGLE CLOUDS 949.6.2 ECONOMIC OF THE CLOUD AND ITS BENEFITS FOR GOOGLE 949.6.3 SWOT ANALYSIS FOR GOOGLE CLOUD SERVICES959.6.4 GOOGLE MOBILE CLOUDS POTENTIALS IN THE MOBILE COMMERCE INDUSTRY 979.7 NFC PAYMENT VS CLOUD-BASED PAYMENTS 1009.8 CASE STUDY: BIG DATA IN THE CLOUD AND ITS BENEFITS 1009.9 CLOUD ARCHITECTURES1029.10 CLOUDS TECHNOLOGIES 1039.11 CLOUD-BASED SERVICE IMPLEMENTATION 103
  4. 4. 9.11.1 FOR IT PROVIDERS 1039.11.2 FOR DEVELOPERS 1059.11.3 FOR BUSINESS 1069.11.4 BIG DATA IN THE CLOUD CASE STUDY: PIXAR 1089.11.5 FOR CONSUMER USE 1089.11.6 FOR GOVERNMENT USE 1099.12 ANTICIPATED TRENDS, APPLICATIONS, AND PATENTS 11010.0 BIG DATA MARKET VALUE 11710.1 BIG DATA IN TELECOMMUNICATION 11810.2 BIG DATA IN INDUSTRY VERTICALS 118Contact: sales@reportsandreports.com for more information.

×