The Arbutus Data Engines have been designed to help organizations address some of their most challenging data delivery and analysis requirements. The Linux Data Engine resides natively on enterprise servers enabling fast, efficient data access and query processing support for solutions involving Arbutus Connect, Migrate, Query and Instant Warehouse.
THE LINUX DATA ENGINE IS USED TO SUPPORT REQUIREMENTS FOR:
Staging data from multiple platforms
- Stage data from other platforms for the purposes of performance optimization or to increase analysis and reporting capabilities
- Allows for the transparent joining and comparing of data from disparate sources
- Staged data can be used just as if it were in a data warehouse
- Data marts can be created and updated as easily as just copying a file
Offloading CPU cycles from production environments
- A simple, low cost solution to stage and access mainframe data
- Unique in that it is fully compatible with all data set structures and data types encountered on your mainframe or AS/400
- Staging data is as simple as a file transfer, with no data transformation required
- Implement a data mart style solution, with full access for any type of query, analysis or reporting needs, in a matter of days
Usage and access solutions for historical data from decommission platforms
- Fully compatible with all data set structures and data types encountered on your mainframe, Unisys, HP or DEC platforms
- Staging historical data is as simple as a file transfer, with no data transformation required
KEY CAPABILITIES OF THE LINUX DATA ENGINE
Accessing and integrating all data
- Specializes in reading non-relational data sources; including the most complex legacy file structures
- Enables each of these data sources to appear as a table in a single unified database
- Tables may be combined in any manner desired, irrespective of the original data source
- IT no longer needs to deploy a number of separate data interfaces to access the various sources
Moving data between platforms
- Data sources can be easily moved between server platforms or from the server to the desktop
- Data can be easily brought together from multiple platforms for analysis and reporting purposes
Analyzing data
- Analysis can take place on the server, the desktop, or a combination of each
Sharing of data
- Supports the easy sharing of data access and analysis among users
- Data access can be controlled by a central administrator, whether on-site or from a remote location
Optimal processing performance
- Optimized for strong performance in processing large data files allowing end users to experience faster response times to their queries
Technical Features>>
Download Arbutus Technology – Data Engine Brochure [PDF]