In order to keep your business up and running with advanced technology, you must implement data migration at certain time intervals. To avoid unexpected losses, you have to know certain essential details before commencing your data migration journey.
The first step that needs to be executed is to analyze and understand the complexity of the data. The complexity evaluation includes identifying the structure of the databases, the way data is classified and stored. This gives direction for creating the data storing architecture at the target or destination data store.
Every day organizations are overloaded with information or data but only a little data is important and needs to be processed, maintained, and transferred. It is essential to determine the important information and the way to segregate it. Applying the standard methodology to filter the data will save time and cost of the data translation. Thus, simplifies the cloud migration process.
Standardizing the business rules, gives direction on the data usages, setting the data migration and translation strategy. It ensures data compatibility and compliances with advanced technologies.
Data quality assessment is one of the methods to maintain the data quality and remove duplicate as well as irrelevant data. It reduces the unnecessary data from the data warehouse. So you are only left with the currently required data and the data which is useful in the future. This reduces the unnecessary burden of data migration for further usages and development. To carry out the entire activities, you have to appoint a dedicated person who will take care of the execution of the data maintenance process.
Once you have done all the above activities and your source data warehouse is ready for cloud migration, then you have to figure out how the cloud migration will be carried out, what will be the target data warehouse architecture, who will be responsible for the whole process of data migration and finally how to execute the data migration.
All the above-mentioned practices need to be followed by an organization. However, it is always recommended to find a vendor who can boost and maintain the data migration process for you without compromising on the quality of the migration and data security.
The data migration tools of Datametica are designed in such a way that they are aligned with an organization’s business values, address business requirements, and follow fundamental practices while performing data migration activities. For more information please visit, datametica.com.
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A Global Leader in Data Warehouse Modernization & Migration. We empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.
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Head – Product Strategy and GTM
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