【レポートの概要（一部）】
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
5.0 ANALYTICS 32
5.1 BIG DATA IT ANALYTICS 32
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 SOLUTIONS 48
7.2.1 DATA AGGREGATION 49
7.2.2 DATA STORAGE 50
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 APPLICATIONS 68
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 1 83
9.4.2 SCENARIO 2 84
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 SERVICES 95
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 ARCHITECTURES 102
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
【レポート販売概要】
■ タイトル：ICT及びテレコムにおけるビックデータ（Big Data in ICT and Telecom: Transforming Industry Verticals 2012 ? 2017）■ 発行日：2012年9月11日
■ 調査会社：Mind Commerce
■ 商品コード：MCM312240058
■ 調査対象地域：グローバル
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