THE CHALLENGE: A COST-EFFECTIVE MEANS TO ACCESS & TRANSFORM MAINFRAME LEGACY DATA
When integrating legacy data into your data warehouse or data mart, an unfortunate fact is, many of the “standard” extract, transform and load (ETL) solutions are complex, time-consuming, and costly. For these reasons, they are typically implemented only for the data sources judged to be the most critical, or sadly, the most easily accessible.
This situation is particularly true with respect to your legacy mainframe systems. Given the costs, you can only make a business case for the most valuable data, and even then you have to wait for the process to run its course.
But what about all the data elements that have value, but not enough to justify the expense of modifying your ETL processes?
What is needed is a solution that lowers the boundaries to accessing your legacy data, one that is quicker and more cost-effective, so that it is easier to make a case for accessing all of the data that you need, when you need it.
THE SOLUTION
Arbutus specializes in accessing non-relational legacy mainframe and AS/400 data. Arbutus Integrate is middleware specifically tailored to move legacy data directly to the Windows platform. The solution is simple, powerful, timely and cost-effective. In cases in which your target is not Windows-based, Arbutus can still read the source data, but instead provides it in any standard format for loading.
In addition to accessing the data, Arbutus offers semantic and transformation layers that allow the implementation of virtually any data interface or business rule. You are not limited to merely exposing the data, but can dynamically fit it to your needs.
See how Arbutus’ direct legacy file access assists in other application areas
.