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Securing Big Data Infrastructure: An Evolving Market Ecosystem

  • February 2016
  • -
  • Mind Commerce Publishing
  • -
  • 52 pages

Overview:

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

Securing Big Data Infrastructure: An Evolving Market Ecosystem
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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