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Technology Advancements Shaping Big Data Progress

  • ID: 4330373
  • Report
  • June 2017
  • Region: Global
  • 50 Pages
  • Frost & Sullivan
Need for Scalability, Interactivity, and Accuracy is Driving Innovation

With the advent of Internet of Things (IoT) devices, data are growing rapidly and are becoming an integral part of the evolving IT infrastructure. Big Data analytics (BDA) refers to a set of data management tools, applications, and techniques for effective analysis of Big Data sets so as to derive intelligence on business operations and customer interactions. BDA is capable of processing both structured and unstructured data from various sources.

The recent trend in the data management space is to enable scalability in data analytics and to ensure details of smaller entities are analyzed appropriately. BDA is bringing in step-changing innovation across sectors of economic activity for efficient data management. However, there are few challenges restricting the adoption of the technology. At present, the market is experiencing some technology convergence with the advancement in some supporting technologies to address these challenges with Big Data technology space.

This research service identifies the key technology development areas within information and communication technology industry that have the potential to not only address the challenges of the Big Data space, but also facilitate development of next generation applications through convergence.

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1. Executive Summary
1.1 Research Scope
1.2 Key Findings
1.3 Research Methodology

2. Overview of the Topic
2.1 Overview of Big Data
2.2 Big Data Technology Value Chain
2.3 Key Stakeholder Groups in Technology Value Chain
2.4.1 Lack of skilled resources, faster analytics, scalable architecture and information security hindering adoption of Big Data
2.4.2 Lack of adequate data sources, user-friendly interface and in-depth analysis hindering Big Data adoption

3. Technology Advancements Transforming Big Data
3.1 Big Data: Technology Innovation Layers
3.2 SQL Database is Back to Big Data
3.2.1 Companies at the Forefront Introducing SQL to Big Data
3.3 Data Virtualization Facilitating Data Management
3.3.1 Companies at the Forefront of Virtualization
3.4 Transforming Every Object into a Data Source with Internet of Things
3.4.1 Companies at the Forefront of IoT Market
3.5 Enhanced Security for the Cloud Facilitating Big Data Adoption
3.5.1 Companies at the Forefront of IDaaS
3.6 In-memory Helping in Processing Data Faster
3.6.1 Companies at the Forefront of In-memory Computing
3.7 Artificial Intelligence Facilitating Decision Making Process
3.7.1 Companies at the Forefront of AI-based Analytics
3.8 Virtual Reality will Revolutionize Visualization
3.8.1 Companies at the Forefront of Virtual Reality

4. Future Applications of Big Data and Converging Technologies
4.1.1 Human Voice will Facilitate mHealth
4.1.2 Analytics will Help Protect Zero-day Attacks
4.1.3 Next Generation Analytics Assistant will Emerge
4.1.4 Brick-and-mortar Stores will Fight Back
4.1.5 Interactive Analytics will be Simplified
4.1.6 Comprehensive Point-of-care Diagnosis
4.1.7 The User's Brain May Communicate Needs
4.2 Analyst Insights

5. Key Contacts
5.1 List of Contacts

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