Linux Server
Easily stage mainframe data
While the Linux server can access data native to its platform, the primary intent is to provide
organizations with an alternative means to stage and access mainframe data. By staging your mainframe
data on a Linux server, organizations can reduce CPU usage costs and demands on limited internal
resources while requiring an absolute minimum level of infrastructure.
The Linux server is fully compatible with all data types
and record organizations found on an IBM mainframe, and requires no translation or transformation to
process the data. Just copy the data from the mainframe to the Linux server, complete a brief data
definition step, and you are ready to go.
Sequential files (fixed or variable length) can be moved to the Linux server with any existing file
transfer technology (such as FTP), without conversion. VSAM, ISAM, DB2 and IMS data can also be extracted
directly, using either the Arbutus Mainframe server
or any other suitable transfer protocol. None of these file transfers require any form of data transformation,
as the Linux server is fully compatible with the data as stored (including EBCDIC, PACKED, ZONED and BINARY data).
Once mainframe data is staged, the data access and integration capabilities of Arbutus can then be
utilized, without impacting the mainframe load. Data marts can be created and updated as easily as just
copying a file.
Key features:
- Small footprint, requiring less than 5MB, exclusive of temporary data files
- Provides access to other data sources including Unisys, HP and DEC once they are staged
- Defines and accesses existing flat files already on the server
- Native mainframe file types are supported, including fixed and variable length formats
- All native mainframe field types are supported, including EBCDIC, Packed, Zoned, Binary and Float
- Communicates via TCP/IP, allowing remote access in distributed environments
- All connectivity can be totally transparent to users who access staged mainframe data
- Data transmission delays are minimized, as only the columns and rows required are downloaded
- Data transmission speeds are further improved through the use of compression
- Data transmission over public lines can be secured by encryption
- Minimal infrastructure and set up time, as data is staged in its original unconverted format
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