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About ‘Utilities’

What We Do

      Domain Consultancy

      IT Infrastructure

      GIS Applications

      Consumer Indexing

      Database Migration

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      Collection Services

      Meter Data Acquisition

      Energy Audit

      Facility Management

      Manpower Augmentation

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      Area Franchisee

What we have done

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SERVICES - UTILITIES - DATABASE MIGRATION

 

 

CS has undertaken over 20 large scale database migration projects which involed legacy data and fragile-sheets data to be migrated to a unified digital formats. It has walked with the times and ensured that the databases can be easily migrated if a new format becomes the norm. Data Migration is the process of transferring data between storage types, formats, or computer systems. Data migration is usually performed programmatically to achieve an automated migration, freeing up human resources from tedious tasks. It is required when organizations or individuals change computer systems or upgrade to new systems, or when systems merge.


Electricity/Gas/Water consumer database migration relates to changing over of old database information to newer formats or schemas. This would also include manual to electronic form conversion for legacy data.


To achieve an effective data migration procedure, data on the old system is mapped to the new system providing a design for data extraction and data loading. The design relates old data formats to the new system's formats and requirements. Programmatic data migration may involve many phases but it minimally includes data extraction where data is read from the old system and data loading where data is written to the new system.


After loading into the new system, results are subjected to data verification to determine whether data was accurately translated, is complete, and supports processes in the new system. During verification, there may be a need for a parallel run of both systems to identify areas of disparity and forestall erroneous data loss.


Automated and manual data cleaning is commonly performed in migration to improve data quality, eliminate redundant or obsolete information, and match the requirements of the new system.

 

 

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