{"id":1179,"date":"2015-07-03T12:06:05","date_gmt":"2015-07-03T12:06:05","guid":{"rendered":"https:\/\/www.kovair.com\/blog\/?p=1179"},"modified":"2015-07-03T12:06:05","modified_gmt":"2015-07-03T12:06:05","slug":"removing-data-migration-hindrances-in-new-tool-adoption","status":"publish","type":"post","link":"https:\/\/www.kovair.com\/blogs\/removing-data-migration-hindrances-in-new-tool-adoption\/","title":{"rendered":"Removing Data Migration Hindrances in New Tool Adoption"},"content":{"rendered":"

Accuracy, completeness, redundancy and tool compatibility checks during data translation are the major concerns that make \u2018Data Migration\u2019 job difficult for any organization, in any given situation. This concern of seamless data migration often refrains organizations from adopting a new tool for business benefits. This signifies how important it is to have a proper user-friendly system in place that can perform the job with zero tolerance to data loss and data disparity.<\/p>\n

Data migration does not always mean transferring data from one system to another, but may include transformation of data from one format to another. A successful data migration is driven by a set of automated scripts or a software application specially designed to take care of the migration of data automatically from the existing to the new tool.<\/p>\n

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Challenges in Data Migration<\/h2>\n

The data migration operation is not as simple as it may appear. An organization has to face a lot of challenges during data migration process and it involves quite a high amount of risks. Following are the most common challenges in a data migration scenario.<\/p>\n

Storage Migration<\/strong><\/p>\n

Handling application attachments – ASCII and UTF file formats is a complex process.<\/p>\n

Complexity of Data Formats<\/strong><\/p>\n

Organizations, in practice implement multiple tools from different vendors. The data formats vary from one tool to another which results not only in a need to build a simple interface between the source and target tools, but also to transform data while passing them to the target application. The data formats, of course, vary from proprietary formats through plain text to XML.<\/p>\n

Security<\/strong><\/p>\n

Different tools have different policies to enforce data security. Even though it is maintained correctly in the source tool, the same security must be enforced on the target tool as well to prevent any potential misuse of information.<\/p>\n

Data volume<\/strong><\/p>\n

In case of handling of a large amount of data, each of the steps involved during migration like data extraction from source tool, data transformation, data transfer to target tool, data load on the new tool may impact the overall system performance. Therefore, the migration process needs to be carefully planned to avoid any negative impact during peak processing loads.<\/p>\n

To address these migration challenges, one of the solutions Kovair has come up with uses its integration platform – the Omnibus<\/a>. It is based on the Enterprise Service Bus (ESB) architecture that requires only one connector per tool, thereby making the migration environment readily scalable. The migration rules are not hard coded into the middleware components but open for definition of one\u2019s own business logic.<\/p>\n

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Secure and Error Free Data Migration with Zero Data Loss<\/h2>\r\n
Live Product Demo by our Experts<\/div>\r\n
\r\n Get Demo<\/a>\r\n <\/div>\r\n<\/div>\n

The Migration Scenario<\/h2>\n

In the context of this blog, to depict a practical scenario, we have selected the following two well-known tools; HP QC – a popular tool for test management and TFS \u2013 a complete ALM product combined with Microsoft Test Manager (MTM). The general perceptions about HP QC are as follows:<\/p>\n