Data Storage: Data Migration Project Planning: 10 Best Practices to Implement
Data integration involves combining and reconciling data residing in different storage areas, which could be on site or in the cloud, and giving users a unified view of this data. This process becomes a significant undertaking in a variety of situations, which include both commercial (when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration issues are increasing in frequency as the volume, the number of file formats and the need to share existing data explodes. It has become the focus of extensive theoretical work and numerous open problems remain unsolved. In management circles, people frequently refer to data integration as Enterprise Information Integration. Sometimes, it's difficult to know where to start a data migration project, because in any enterprise, there are many data stores and agendas. To try to shed some light on the problems, eWEEK and integration expert Arvind Singh, CEO of data management consultancy Utopia Inc., have put together some best practices to think about before starting an enterprise data migration project.
Determine the Purpose of Your Data
Analyze the information environment, identifying where and how the data will be leveragedand who will actually use the datawhile thoroughly assessing the information environment. Determine how data could be used differently tomorrow, in analytics, for example.