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March 9, 2010

The Role of Planning in Data Migration

Filed under: Data Migration, Data Quality, Uncategorized — Tags: , — Olga Belokurskaya @ 3:00 am

Data migration has never been an easy process, and though there are a variety of tools available today, the process remains complex, and the rate of errors is high. Data integration may fail due to hardware or system failures, but those are so-called unforeseen situations. The most common reason for migration project failure is lack of proper planning.

In the result of rushing into migration without careful planning of time and resources needed, data migration projects experience schedule delays and require additional expenses, so budgets get overrun. That’s because multiple issues occur during the process of data migration, including copy process failures, issues with data formats match in the source and the target, server crashes due to excessive amounts of data migrated at once, etc. Coping with these issues requires time and money, so data migration process may stick.

Proper migration planning should include a set of pre-migration procedures and well-elaborated migration program to help address data migration complexities, hit deadlines, and avoid unpredicted additional costs. I’ll touch on this in my next posting.

February 16, 2010

When Developing Systems Architecture Think About Data Integration

Filed under: Data Integration, Data Quality — Tags: , — Olga Belokurskaya @ 6:34 am

“The data, and integration strategies around the data, is something that most figure is there, will be there, and requires very little thinking and planning.” – This is what I’ve read today at ebizQ.

This again supports the idea that data, though being “the biggest companies’ value”, is still often being neglected. And this results in data integration and quality issues, providing inconsistent data and ruining the entire idea of data integration as a way to provide a clear view on enterprise data. The data that is important for business decisions.

In fact, very often when it comes to designing and developing the architecture, all the attention is focused on technical side of the process. Thus data integration strategies become an afterthought making it difficult to meet business requirements. So, the message is that provisions for data integration should be made at the level of the development of enterprise systems architecture.