Data Migration Services
Touchstone Systems provide a full data migration service from a wide variety of databases including IBM DB2, Oracle, Microsoft SQL Server, Sybase, Informix, MySQL , Microsoft Access and many others.
Our data migration service uses the most innovative ETL (Extraction, Transformation and Load) solutions to allow easy migration of data, schema, procedures and other objects between multiple databases. Data migration can be carried out either as a one-off exercise, or can be defined to allow regular updates of information from one database to another. |
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Two of the most important aspects of any data migration work is the validation, cleansing and transformation of the data. Our service includes these options to ensure that the data migrated from one format to another does not compromise the integrity of the receiving database, nor duplicates information already held.
All of our work, including supplied products and contractor/consultancy resources are fully covered by our 100% satisfaction guarantee.
Our solution handles a great number of minor differences between databases by generating intelligible code. Ensuring a flexible migration process, it allows you to customise the conversion to fully meet your needs.
Touchstone Systems has developed considerable skills for data migration and cleansing, and is committed to working with organisations to produce innovative and cost effective solutions incorporating industry-leading technologies.
The most common data migrations we undertake are:
- Migration of Infomix database to Oracle
- Migration of Infomix database to SQL Server
- Migration of Sybase database to Oracle
- Migration of Sybase database to SQL Server
- Migration of Oracle database structure and data to SQL Server 2005 and 2008 R2
- Upgrade SQL Server 2000 to SQL Server 2008 (DTS to SSIS)
Information is the life blood of a company; whether its information on customers, accounts or service. Data should flow, connect and allow easy analysis of situations, trends and growth. If data is in the wrong format, wrong location or out of date, its value is almost removed.



Data Transformation
Data Cleaning
Multiple Sources
