The mainframe platform still represent a core, strategic part of many organizations IT environment. They also represent a more closed environment that creates challenges when it comes to end user data access and analysis.
The Arbutus Data Engines have been designed to help organizations address some of their most challenging data delivery and analysis requirements. The Mainframe Data Engine resides natively on enterprise mainframes enabling fast, efficient data access and query processing support for solutions involving Arbutus Connect, Migrate, Query and Instant Warehouse.
The Data Engine communicates directly with Analyzer and LegacyLink to provide direct, real-time access to all data sources like DB2, IMS, VSAM and sequential (QSAM) flat files.
Accessing and integrating all data
The Data Engine specializes in reading both relational and non-relational data sources; including the most complex legacy file structures. The Data Engine enables each of these data sources to appear as a table in a single unified database. Even though the data may be physically disparate, the tables may be combined in any manner desired, irrespective of the original data source.
Moving data between platforms
The Data Engines allow data sources to be easily moved between server platforms or from the server to the desktop. Data and databases can be easily brought together from multiple platforms for analysis and reporting purposes.
Analyzing data
Depending on requirements, analysis can take place on either the server, the desktop, or a combination of each. The Data Engines also allow analysis to occur against ‘live’ data or staged data; providing complete analysis flexibility.
Sharing of data
Where the sharing of data is an important part of your work flow processes, the Arbutus Data Engines supports the easy sharing of data access and analysis among users. It also provides the option for data access to be controlled by a central administrator, whether on-site or from a remote location.
Moving data out of a closed environment
The Mainframe data engine can also be used to efficiently move data sources to other platforms or to freely combine with other mainframe data.