Rocket Data Virtualization

Rocket Data Virtualization

Unlock your mainframe data

The industry's only mainframe-resident data virtualization solution for real-time data access from any application, Rocket® Data Virtualization software helps the IBM® z Systems® platform reach its full potential for high-performance data processing. It provides a virtual representation of data while eliminating the cost and complexity of data movement technologies, including ETL operations.

Mainframe data virtualization for agility and simplicity

Data architectures are evolving to be more agile in response to the unique real-time needs of mobile, cloud, and self-service analytics.

Data virtualization gives you more agility, eliminating the need to physically move data—and all the effort (and risk) that entails—providing a virtual means for bringing together heterogeneous data sources. Data virtualization is also simpler than older methods. It provides data integration without the complexity and cost associated with extracting, transforming, and loading the data.

With data virtualization, applications have seamless access to data without the need-to-know technical details, such as how the data is formatted or where it's located.

A modern approach to data access

Data integration approaches that rely on hard-coded data access, extract-transform-load (ETL) processes, and data warehousing struggle with requirements for real-time, accurate information. Today, there's simply too much data to move and not enough time to move it all.

Data virtualization is a more modern approach to data access. Heterogeneous data sources—mainframe, distributed, NoSQL—remain in their original locations, and are joined virtually. In place of "complex and costly," Rocket provides "agile and real-time," moving data virtually closer to cloud, mobile, and analytics. This approach effectively moves the data consumer closer to the information source.    

Information today is also highly distributed across platforms, formats, and locations. Disconnected islands of enterprise data make it difficult for organizations to have a comprehensive view of their customers or businesses. Data virtualization provides universal access to information regardless of where it is located, what system is runs on, or what interface is required for access. It eliminates the need to create a physical data warehouse in order to deliver an integrated view of data. With data virtualization, high priority projects—cloud, mobile and analytics—have a single logical data source to access, which ultimately is a faster, less costly approach to sharing information.

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