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JBoss Middleware

Red Hat JBoss Data Virtualization

Rethinking data integration

Turn fragmented data into actionable information at business speed

Organizations no longer suffer from a lack of data; they’re suffering from lack of the right data, at the right time. Start treating your data less as a static warehouse and more as a dynamic supply chain. With a data supply chain, you get just-in-time processing capabilities that can bring together data from multiple sources, easily accommodate new data sources, and transform the data according to data consumers' needs.

Red Hat® JBoss® Data Virtualization is a data supply and integration solution that sits in front of multiple data sources and allows them to be treated as single source, delivering the needed data—in the required form—at the right time to any application or user.

Benefits

Your data, your way

  • Connect

    Access data from multiple, heterogeneous data sources.

  • Consume

    Make unified data easily consumable through open standards interfaces.

  • Compose

    Easily combine and transform data into reusable, business-friendly virtual data models and views.

Product details

Data should work for you, not against you

Simplify data use

Red Hat JBoss Data Virtualization is a comprehensive platform that enables agile data use. It hides complexities, like the true locations of data or the mechanisms required to access or merge it. Data becomes easier for developers and users to work with.

Maximize return on assets

Gain critical business insights by making all data easily consumable by people who need it.

  • Improve the use of data assets.
  • Derive more value from existing hardware and storage investments.
  • Complement existing integration technologies like service-oriented architecture (SOA); enterprise application integration (EAI); and extract, transform, and load (ETL).

Boost agility and respond faster to change

Model-driven graphical design and development environments let you respond faster to change and improve your staff's efficiency. Your data virtualization projects are completed faster, so you realize benefits sooner.

  • Better and faster than hand-coding and physically copying and moving data
  • Faster and less costly than batch data movement
  • Optimized development and maintenance with loose coupling

Increase employee productivity for faster time to value

JBoss Data Virtualization gives your organization the unified information it needs to increase revenue and reduce costs by:

  • Delivering data in the right form, at the right time, to the right people.
  • Providing decision support and greatly enhancing the value of business intelligence (BI) with a complete view of the information you need.
  • Allowing the mixing of on-premise data with cloud data, and real-time operational data with historical information.

Improve information control and compliance

Data virtualization layers deliver data firewall functionality. JBoss Data Virtualization improves data quality with:

  • Centralized data authentication, access control, and policy enforcement.
  • Robust security infrastructure and auditing.
  • Reduced risk with fewer physical copies of data.

The metadata repository catalogs enterprise data locations and the relationships between the data in various data stores, creating transparency and visibility.

Without a data virtualization strategy, you risk knowing less about your customer, delivering fewer real-time business insights, losing competitive advantage, and spending more to address data challenges.

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Services and support

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Rely on the experts

Let Red Hat Consulting help you successfully deploy Red Hat JBoss Data Virtualization. We offer flexible engagement models to help meet your IT goals. Have unallocated end-of-year budget? Consider using Consulting Units to secure resources you'll need in the upcoming year—without committing to a specific topic up front.

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Unlock the full potential of all your data

Data virtualization positively impacts both your business and IT organization

  • Business leaders

    Make better data-driven business decisions for enlightened business execution.

  • CIOs and IT leaders

    Reduce data sprawl and the cost of data duplication, storage, and maintenance. Improve information control and reduce risk by applying role-based data access, security, and auditing policies regardless of data source types.

  • Integration developers

    Rapidly deliver reusable unified data views and data services using graphical tools. Decouple consuming apps and data sources to gain flexibility with support for hybrid data delivery modes (on-demand, cache, and materialized) of using apps.

  • Information workers

    From spreadsheet user to data scientist, data virtualization provides instant access to all the data you want, the way you want it.

  • CTOs and architects

    Data virtualization’s agile integration approach lets you respond faster to businesses’ ever-changing analytics and business intelligence needs, and do it for less.

Use cases

Deliver strategic technology initiatives with agility

Red Hat JBoss Data Virtualization lets users get the actionable, unified information they want, the way they want it, and at the speed their business needs it. Combined with ease of development, JBoss Data Virtualization allows rapid delivery for a range of IT projects and initiatives.

Agile, self-service business intelligence (BI)

Data virtualization is an excellent way to expand business analytics to sources beyond those captured in existing data warehouses and data marts. This approach gives you more complete and actionable information, and faster time to solution. The rapid, iterative data abstraction and provisioning capabilities of JBoss Data Virtualization are key to a fast-paced environment where data is created and changed at varying speeds.

If your organization struggles with uncontrollable point-to-point integration, you’ll benefit from JBoss Data Virtualization. By unifying data access for analytics, JBoss Data Virtualization:

  • Simplifies data access.
  • Improves reuse.
  • Reduces change impact.
  • Achieves consistent semantics.

JBoss Data Virtualization provides user-friendly views and exposes high-quality information assets. Business users can easily access trusted data sources and perform self-service analytics using any BI tools of their choice.

Unified, 360° view

Applications often need an aggregated view of data from master data management (MDM), data warehouse (DW), and other online transaction processing (OLTP) systems to gain a complete view of data in real time.

An example of this is call center apps used by agents, which need to perform full read/write transactions for various systems. The virtual data layer serves as a unified, enterprise-wide view of business information that improves the ability of users to understand and use enterprise data.

Agile SOA data services

Data virtualization delivers the data services to SOA apps. It speeds the creation of data services that encapsulate the data access logic, and lets multiple business services acquire data from a centralized data layer.

Data virtualization combines SOA principles—like decoupling, reuse, and agility—with key information governance principles, such as abstraction, shared semantic models, and data standards. This lets IT build and deploy a layered data architecture in a simpler, faster, and more consistent and scalable way.

Data firewall and information security

  • Data virtualization provides reverse proxy access to data, keeping physical data sources anonymous. This prevents unnecessary exposure.
  • Get improved data quality via centralized access control, robust security infrastructure, and a reduction in physical copies of data to reduce risk.
  • A metadata repository catalogs enterprise data locations, and the relationships between the data in various data stores provide transparency and visibility.

Big data integration

More and more organizations have big data stored in Hadoop and NoSQL systems. But most reporting and analytical tools can't access those database servers, because most require an SQL interface. Data virtualization provides the solution by masking these sources as SQL tables.

Big data sources, like Hadoop and NoSQL, need to integrate with existing BI and operational systems. Data virtualization provides rapid virtual integration that doesn’t require replication of already "big" data sources.

Cloud data integration

Many organizations are adopting cloud computing that requires each new cloud source to be integrated with the existing IT environment. Data virtualization solves this problem, allowing enterprises to maintain a complete view of internal and external information while taking advantage of attractive cloud economics.

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