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市場調查報告書

巨量資料基礎設施的保證:市場生態系統的發展

Securing Big Data Infrastructure: An Evolving Market Ecosystem

出版商 Mind Commerce 商品編碼 351259
出版日期 內容資訊 英文 53 Pages
商品交期: 最快1-2個工作天內
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巨量資料基礎設施的保證:市場生態系統的發展 Securing Big Data Infrastructure: An Evolving Market Ecosystem
出版日期: 2016年02月03日 內容資訊: 英文 53 Pages
簡介

本報告提供巨量資料基礎設施及安全組成架構的零組件相關資料,Hadoop,Cassandra,及Mongo資料庫相關課題調查,巨量資料基礎設施安全市場生態系統,巨量資料保護的策略性組成架構相關零組件,及供應商的解決方案情形等相關分析。

第1章 簡介

  • 巨量資料的崛起
  • 巨量資料的堆疊
  • HADOOP的分散
  • 巨量資料的生態系統
  • 巨量資料及IT支援服務
  • 巨量資料基礎設施
  • 安全的課題、弱點
  • HADOOP的弱點

第2章 3大巨量資料安全:HADOOP、CASSANDRA,及 MONGO

  • HADOOP
    • 認證
    • 服務水準認證
    • HTTP網站主機認證
    • 資料保密責任
    • 設定
    • Kerberos認證
    • HORTONWORKS DATA PLATFORM (HDP)
    • CLOUDERA HADOOP DISTRIBUTION (CDH)
  • CASSANDRA
    • 認證
    • 角色為基礎的安全
    • 對象權限管理
    • 資料庫安全、測井
  • MONGO

第3章 巨量資料保護策略

  • 在資料保護策略的開發中應討論之點
  • 發展巨量資料保護策略的零組件

第4章 巨量資料基礎設施安全市場生態系統

  • 保存資料的保證
  • API的保證
  • 應用的保證
  • 分析用資料的保證
  • 用戶特權的保證
  • 企業資料的保證
  • 資料收集、整合的保證
  • 巨量資料基礎設施安全的評估工具
  • 安全供應商形勢

第5章 巨量資料保護的策略性組成架構

  • 策略性架構用零組件
    • 聯合存取及傳輸基礎設施 (FADI)
    • 存取控制
    • XACML政策
    • 加密
    • BootStrap通訊協定
  • 巨量資料安全的組成架構
    • 資料管理
    • ID & 訪問管理
    • 資料保護、隱私
    • 網路安全
    • 基礎設施安全、完整性
  • 基本設備的巨量資料安全架構
    • 記錄/審核
    • 安全LINUX
    • 資料監測
    • 用戶監測

第6章 地區的資料技術與服務市場

  • 全球巨量資料技術、服務市場區分
    • 巨量資料基礎設施、安全解決方案
    • 巨量資料軟體解決方案
    • 巨量資料支援服務
  • 全球巨量資料技術、服務支出:各垂直產業
  • 巨量資料及服務支出:各地區

第7章 摘要、建議

圖表

目錄

The Big Data industry is experiencing profound changes across the entire stack including infrastructure, security, analytics, and application layer. The data management industry is shifting from host based architecture to cloud based data centric architecture and operational model, thereby creating enormous challenges on infrastructure security.

This creates an evolving market ecosystem for Big Data technology and services, infrastructure, and security solutions, software solutions, and support services. Open source solutions such as Hadoop, Cassandra, and MongoDB play a key role in the ecosystem in terms of security features. However, full infrastructure security involves initiatives of many players including general security solution providers.

This research evaluates the components of Big Data infrastructure and security framework along with security challenges related with Hadoop, Cassandra, and MongoDB. This research also analyzes the Big Data infrastructure security market ecosystem, components associated with strategic framework for Big Data protection, and vendor solution landscape.

The report also includes market projection for enterprise spending on Big Data technology and services encompassing three verticals. Forecasting includes market projections by industry verticals and geographic region. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Key Findings:

  • Certain industries will be drivers of Big Data Security
  • Big Data infrastructure will require strategic governance and framework for security
  • Big Data infrastructure and security solution market spending alone will reach $23.7 billion by 2021
  • The evolving Big Data Security ecosystem consists of infrastructure, applications, APIs, and data itself
  • Big Data Security should be a key part of strategy within the Big Data Lifecycle Management (BDLM) model

Target Audience:

  • Big Data vendors
  • Big Data security providers
  • Telecom equipment providers
  • Global infrastructure suppliers
  • Communication service providers
  • Cloud services and datacenter companies
  • Big Data consulting, and advisory companies

Table of Contents

1.0 INTRODUCTION

  • 1.1 THE RISE OF BIG DATA
  • 1.2 THE BIG DATA STACK
    • 1.2.1 PHYSICAL INFRASTRUCTURE
    • 1.2.2 DATA COLLECTION AND INTEGRATION
    • 1.2.3 DATA SECURITY AND STORAGE
    • 1.2.4 DATA ANALYTICS
    • 1.2.5 DATA CONSUMPTION
  • 1.3 HADOOP DISTRIBUTION
    • 1.3.1 HADOOP DISTRIBUTED FILE SYSTEM
  • 1.4 BIG DATA ECOSYSTEM
    • 1.4.1 INFRASTRUCTURE
    • 1.4.2 ANALYTICS
    • 1.4.3 APPLICATIONS
  • 1.5 BIG DATA AND IT ENABLED SERVICES
  • 1.6 BIG DATA INFRASTRUCTURE
    • 1.6.1 INFRASTRUCTURE FOR DATA MANAGEMENT
    • 1.6.2 INFRASTRUCTURE FOR ANALYTICS
    • 1.6.3 INFRASTRUCTURE FOR CLOUD BASED SERVICE
  • 1.7 SECURITY CHALLENGE AND WEAKNESS
    • 1.7.1 INFRASTRUCTURE SECURITY AND INTEGRITY
    • 1.7.2 DATA SECURITY AND PRIVACY
    • 1.7.3 DATA MANAGEMENT
    • 1.7.4 IDENTITY AND ACCESS MANAGEMENT
    • 1.7.5 NETWORK SECURITY
  • 1.8 HADOOP WEAKNESS

2.0 BIG THREE IN BIG DATA SECURITY: HADOOP, CASSANDRA, AND MONGO

  • 2.1 HADOOP
    • 2.1.1 AUTHENTICATION
    • 2.1.2 SERVICE LEVEL AUTHORIZATION
    • 2.1.3 AUTHENTICATION FOR HTTP WEB CONSOLES
    • 2.1.4 DATA CONFIDENTIALITY
    • 2.1.5 CONFIGURATION
    • 2.1.6 KERBEROS
    • 2.1.7 HORTONWORKS DATA PLATFORM (HDP)
    • 2.1.8 CLOUDERA HADOOP DISTRIBUTION (CDH)
  • 2.2 CASSANDRA
    • 2.2.1 AUTHENTICATION
    • 2.2.2 ROLE BASED SECURITY
    • 2.2.3 OBJECT PERMISSION MANAGEMENT
    • 2.2.4 DATABASE SECURITY AND LOGGING
  • 2.3 MONGODB

3.0 BIG DATA PROTECTION STRATEGIES

  • 3.1 POINTS TO CONSIDER IN DEVELOPING DATA PROTECTION STRATEGY
  • 3.2 COMPONENTS TO DEVELOP BIG DATA PROTECTION STRATEGY

4.0 BIG DATA INFRASTRUCTURE SECURITY MARKET ECOSYSTEM

  • 4.1 SECURING DATA AT REST
  • 4.2 SECURING APIS
  • 4.3 SECURING APPLICATIONS
  • 4.4 SECURING DATA FOR ANALYSIS
  • 4.5 SECURING USER PRIVILEGES
  • 4.6 SECURING ENTERPRISE INFORMATION
  • 4.7 SECURING DATA COLLECTION AND INTEGRATION
  • 4.8 TOOLS TO EVALUATE BIG DATA INFRASTRUCTURE SECURITY
  • 4.9 SECURITY VENDOR LANDSCAPE

5.0 STRATEGIC FRAMEWORK FOR BIG DATA PROTECTION

  • 5.1 COMPONENTS FOR STRATEGIC FRAMEWORK
    • 5.1.1 FEDERATED ACCESS AND DELIVERY INFRASTRUCTURE (FADI)
    • 5.1.2 ACCESS CONTROL
    • 5.1.3 XACML POLICIES
    • 5.1.4 NOSQL DATABASES
    • 5.1.5 ENCRYPTION
    • 5.1.6 BOOTSTRAPPING PROTOCOL
  • 5.2 BIG DATA SECURITY FRAMEWORK
    • 5.2.1 DATA MANAGEMENT
    • 5.2.2 IDENTITY AND ACCESS MANAGEMENT
    • 5.2.3 DATA PROTECTION AND PRIVACY
    • 5.2.4 NETWORK SECURITY
    • 5.2.5 INFRASTRUCTURE SECURITY AND INTEGRITY
  • 5.3 BIG DATA SECURITY FRAMEWORK FOR INFRASTRUCTURE
    • 5.3.1 LOGGING / AUDIT
    • 5.3.2 SECURE LINUX
    • 5.3.3 DATA MONITORING
    • 5.3.4 USER MONITORING

6.0 BIG DATA TECHNOLOGY AND SERVICE MARKET 2016 - 2021

  • 6.1 GLOBAL BIG DATA TECHNOLOGY AND SERVICE MARKET SPENDING
    • 6.1.1 BIG DATA INFRASTRUCTURE AND SECURITY SOLUTION
    • 6.1.2 BIG DATA SOFTWARE SOLUTION
    • 6.1.3 BIG DATA SUPPORT SERVICES
  • 6.2 GLOBAL BIG DATA TECHNOLOGY AND SERVICE SPENDING BY INDUSTRY VERTICAL
  • 6.3 BIG DATA TECHNOLOGY AND SERVICE SPENDING BY REGION

7.0 SUMMARY AND RECOMMENDATIONS

Figures

  • Figure 1: Big Data across Industries and Use Cases
  • Figure 2: Big Data Stack
  • Figure 3: Complete Big Data Ecosystem
  • Figure 4: Big Data Infrastructure and Components
  • Figure 5: Big Data Lifecycle Management (BDLM)
  • Figure 6: Big Data Components for Analytics Infrastructure
  • Figure 7: Scientific Workflow into Cloud Based Infrastructure
  • Figure 8: Hortonworks Data Platform (HDP) Architecture
  • Figure 9: Cloudera Hadoop Distribution (CDH) Architecture
  • Figure 10: Federated Access and Delivery Infrastructure (FADI)
  • Figure 11: Big Data Security Framework and Components

Tables

  • Table 1: Global Big Data Spending on Technology and Services 2016 - 2021
  • Table 2: Global Big Data Technology and Service by Industry 2016 - 2021
  • Table 3: Big Data Technology and Service by Region 2016 - 2021
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