Editor's Blog - 10 Big Data Migration Mistakes to Avoid
Posted: Aug 13, 2012
Transferring data between computer systems or storage formats is never a trivial task, particularly when it involves both structured and unstructured data. The complexity of data-migration jobs means that cost overruns and delays with "go-lives" are all too common, said Arvind Singh, co-founder and CEO of Utopia, a Chicago-based enterprise data solutions provider.
In a phone interview with InformationWeek, Singh outlined 10 common data-migration problems--five pitfalls and five risks--that enterprises should strive to avoid.
Read more here.