As there is an unprecedented growth of data, various Data Migration services are booming exponentially. With reference to most of the enterprises and web-based application,migration subjects to the movement from one platform to another. Database Migration involves the movement of data from theserver to varied computer systems. This becomes quite cumbersome as it requiresreconfiguration of both Software Platform which often leads to inconsistency in the featuresand Hardware Platform involving the replacement of the server or storage equipment, up gradation, maintenance or data center relocation which is quite a hectic task. We at In Sync usually implement thisprogrammatically so as to achieve automated migration in order to free-up human resources from this tedious and erroneous work.
Database Migration involves various phases ranging from design for data extraction from theold system and loading it into the new one, mainly the mapping between the existing and new system considering all the constraints and dependencies. Then there is data loading and data verification, automated data cleaning to improve data quality andeliminating redundant and obsolete information. In context toETL (Extract, Transform, and Load) process, Database Migration involves at least extract and load steps.
In the world of Databases, developer lays stress on building database-independent applications, by making the usage of ORMs (object relational mappers). On the outside, this looks like an outstanding option, build your application to use only standard functionality and features, and then one can easily migrate to a different platform when requirements dictate. Unfortunately, things are not that simple. Database independent applications necessarily target for the lowest common denominator of all of one’s database platforms, thus dropping the bar on what high-performance features one might take advantage of on the platform one is currently using.
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