Challenges in Data Migration Planning

Data Migration is a multifaceted process of transferring data from one system to another. The changes in database applications and storage modes over many years in the legacy system makes this process troublesome and difficult to control. That is why it is very important to have a well developed data migration strategy to ensure successful delivery of the projects. So now let us discuss some of the major challenges or hurdles that one may face in Data migration planning. 

Challenges in developing Data Migration planning:

Data Migration Planning becomes so complex due to the following main reasons: 

• Complex workflow, job flow, and data flow. 
• Data Redundancy
• The processing happens at many places (ETL, SP, View, Scripts, etc)
• Limited documentation about the current systems 
• Overview of the complete lineage. 
• Incomplete inventory of artifacts and their respective ETLs.
  

Data redundancy becomes one of the most important hurdle’s in database migration, as sometimes the data to be migrated has been collected over many years with no proper quality checks.

Absence or lack of proper documentation of the data can make data migration planning difficult for the data handlers. Lack of documentation also leads to unknown job dependencies and table associations which can make data migration a messy affair. Incomplete ETL workflow & data lineage is another very important part to consider while data migration planning.

All these complexities ensure that there are always some gaps remaining in the data migration strategy developed with manual methodology including cloud experts and engineers. These gaps result in data migration to the cloud projects exceeding timeline and cost.

To resolve these gaps, Datametica uses its data warehouse assessment tool – Eagle that helps in building a complete understanding of the current Data warehouse Platform like Teradata, Netezza, Oracle, Hadoop, etc. It provides details regarding access and query patterns, user behavior pattern, data lineage, change management, and other critical insights to streamline the data migration process. Combining Eagle with our team of experts, we provide a recommended data migration plan with an accurate estimation of cost and resources which also considers client business requirements.

Hence, we can comfortably say that Data migration is a complicated process, but at Datametica we simplify the whole cloud migration process which greatly reduces the business risk.