Welcome to DataMartz.com

DataMartz designs and implements Data Science applications and services. The site and this blog are leveraged to publish my ideas on the tiers of Data Architecture.

  • I – Agile Business Driven Adaptive Modeling via Metadata Martz
  • II – Tier Independent Adaptive Data Modeling via Metadata Martz
  • III – Auto-Generating / Adaptive Tier Integration Layers via Metadata Martz(Including Fuzzy and Data Quality)
  • IV- Auto-Generating / Adaptive Knowledge Bases via Metadata Martz
  • V Auto-Generating / Adaptive Data Mining via Metadata Martz
  • VI- Auto-Generating / Adaptive Persona Modeling and Visualization Base via Metadata Martz

Future Blog Post Topics:

  • What is the unique business opportunity in big data?
  • The different big data functional and market verticals – How to prioritize?
  • What are the latest needs and initiatives in big data?
  • How is big data analytics being applied to Information sharing, fusion, video analytics, atmospherics, identity, biometrics, and a whole range of other critical mission applications?
  • What role are new tools, techniques, and technologies – predictive analytics, cloud computing, metadata, etc. – playing in making big data analytics a reality?
  • What are the future challenges and opportunities?
  • What role(s) can different countries play?
  • Potential Mergers and Acquisition Scenarios that I’m seeing on the Horizon

Strategic Focus Areas for the Blog and DataMartz

  • Leading Big Data Experts will examine various aspects including:
    • Role of Big Business/the Enterprise, Government, and personal life in Big Data: National and International Strategy, Policy, Plans and Initiatives
    • National and International Big Data Strategy and Identification of High-Value Missions and Applications by Vertical
      • Big Data in Different Verticals
        • Finance, Retail, Healthcare, …etc.
    • Big Data Related Compliance, Regulations and Vulnerabilities
    • Building in Flexibility, Scalability, Privacy and Security Issues and Solutions for today’s changing business environments
    • Need for Private Cloud Services and Managed Cloud management services for Big Data and Data Systems today
    • Overview Latest Tools and Technologies – Predictive Analytics, Semantics, Sentiment Analysis, Causal Analysis, Cloud, Metadata, etc.
    • Data Analysis Implementation: Collection, Processing, Management and Dissemination Strategies and Techniques
      • Modeling Data Analysis in the Enterprise Architecture
    • Big Data Education and Training: In Colleges and Universities, Private Training Companies, Nationally Funded Work Force Training Programs, Tuition Assistance and Scholarships
    • Maintaining Competitiveness in an ever-changing Data landscape
    • National and International Angel, Venture and Private Equity Opportunities in Data
      • National and International Angel, Venture and Private Equity Opportunities
      • Current vehicles for governments to provide funding and financial stimulus to big data industry covering start up, small, medium and large companies.
      • Models for Involvement as a Enabler or Catalyst in Big Data industry Capability and Growth