Choosing the best method to extract data from legacy systems
Deciding how to archive data within legacy applications is a difficult choice for IT organizations, especially considering the huge growth in data and the expenses associated with maintaining legacy applications. Add to that regulatory, governance and legal discovery requirements, and it’s easy to understand how vexing this has become for organizations.
That’s why selecting the most appropriate extraction method for legacy data is such an important requirement. Choosing from among such diverse approaches as table archiving, data record archiving, file archiving and hybrid record archiving means taking into account not only the organization’s current needs, but also trying to predict its future requirements— certainly no easy task.
What is clear, however, is that this is a choice that must be made because organizations will continue to struggle with too many systems, aging applications and rising costs to retain and produce data. Fortunately, there are innovative archiving solutions that support a full range of structured and unstructured data in a cohesive, efficient platform that works seamlessly with any data extraction method.
Read this white paper to learn more about archiving solutions that make it easier for organizations to select the best data extraction method for their legacy data, and in so doing, ensure the most flexible approach to creating an enterprise-wide, standards-based, infrastructure-agnostic archiving platform.