TIBCO Data Virtualization

TIBCO Data Virtualization software lets the data integration with breakthrough speed and cost effectiveness
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TIBCO Data Virtualization software lets the data integration with breakthrough speed and cost effectiveness. With it, virtualized views can be built and managed while data services that access, transform, and deliver the data your business requires to accelerate revenue, reduce costs and risk, improve compliance, and more. TIBCO Data Virtualization is Java enterprise-grade middleware with a modular structure that supports all phases of data virtualization development, run-time,and management.

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TIBCO Data Virtualization

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  • The Opportunity to Excel
    TIBCO Data Virtualization addresses the growing and sophisticated data needs of companies with maturing analytic ecosystems. Enable data consistency and reuse, and serve a diverse community of analytic users.
  • Better Business Outcome
    Immediate access to more and broader datasets helps you develop actionable insights and act on them in real time. Users are empowered because they can easily search for and select from a self-service directory of virtualized business data and then use their favorite analytics tools to obtain results.
  • Agility, Flexibility, Adaptability
    Data virtualization time-to-solution is 5‒10X faster than traditional data warehousing and ETL. You won’t wait weeks or months for new data―and you can rapidly adapt to change with the analytic application stack of your choice. You’ll get analytics into production faster than alternative methods, and continue to adapt as data and business needs change.
  • Less Physical Overhead, Less Cost
    Integrate your data virtually from multiple sources with data virtualization technology proven at top communications, energy, financial services, healthcare, and manufacturing enterprises around the world. Many businesses report up to 75 percent reduced costs associated with accessing data in addition to business value acceleration from faster turnaround. You no longer have to build and support multiple specialized data marts.
  • Data engineering
  • Business
  • Data warehousing
  • Data engineer
  • Data analyst
  • Business user
  • IT developer.



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