Database Migration

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.

Database MigrationTools used by Data Integrator:

  • Host-Based File level Migration: Being highly flexible and literally adaptive to almost every Data Migration need, works even better in case of mostly static unstructured data content.
  • Host-Based Block Level Migration: Provide apowerful way to thenon-disruptively migration of data from one storage to another.
  • Network-Based File Level Migration:NAS (Network-Attached Storage) virtualization appliance can be stored between server and storage array, orchestrate non-disruptive migrations and then slip quietly back out of the data path.
  • Network Based Block Level Migration: SANs (Storage Area Networks), actually migrate LUNs (Logical Unit Numbers) from one storage array to next possible one that too enabling online data movement.
  • Array Based Block Level Migration: It is nearly impossible for an array-based data migration tool to be heterogeneousunless the collection itself is different. Universal Replicator can migrate data that is both internal and external to Universal Storage Platform (USP) arrays. This type of duplication works great if the customer already has or is moving toward a USP array, and the hosts cannot take in the workload compulsory to move the data.

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