Data Migration / ETL
Streamline Data Migration with ETL
The ETL process, or Extract, Transform and Load, allows users to gather data from different sources, change the data in accordance to business rules and requirements, then burden the data into an objective dataset. By using the right ETL solution, we can make data migration as simple as drag-and-drop. Our IT teams can take advantage of a number of easy-to-use ETL tools available to perform fast, simple, and powerful data migration. With the help of our data migration service, we help minimize your risks and make your migration a success.
Back up Your Data
In order to avoid any potential loss of data, we ensure you have a backup. A business's data is one of its most valuable assets. It is more critical than ever for companies to keep their data secure and available in a consistent manner. Using our data backup and recovery solution, businesses are able to safeguard their data and recover from unexpected events.
Verify Data Complexity and Quality
The complexity of the data is verified before determining the best approach. As part of our process, we assess and analyze different forms of organizational data, verify the data that we will migrate, where it sits, what it's stored in, and the format it will appear after the migration.
Agree on Data Standards
We put some standards into place after understanding how complex the data is. Because data changes continuously, putting standards in place will help with data consolidation and ensure that data can be used effectively in the future.
Specify Future and Current Business Rules
Defining current and future business rules for data migration can help ensure regulatory compliance. It is only through establishing data migration policies that you can transfer data consistently and in line with various validation and business rules.
We determine what rules will apply to your data prior to migration, and then re-evaluate these rules and improve their effectiveness after the migration process is complete.
Create a Data Migration Strategy
In general, we take two approaches: big bang migration or trickle migration.
With big bang migration, the whole transfer of data is completed within a short period of time, such as 24 hours. As data goes through ETL processing and is moved to a new database, live systems will be down. While this is a quicker approach, it is riskier.
During trickle migration, data migration takes place in stages. Both systems-the new one and the old one run concurrently. Therefore, no downtime is experienced. Although this approach is more complex, data is migrated continuously, making it safer.
Communicate Your Data Migration Process
It is likely that multiple teams will be involved in the data migration process. Keeping them informed of the process is an important data migration best practice. We make sure they understand what they're expected to do. We assign them tasks and responsibilities. We make sure they have the right resources to accomplish each task.
- Who has the final say over the data migration process.
- Who has the power to decide whether it was successfully completed.
- Who is responsible for data validation after the migration.
An absence of clearly defined roles and responsibilities leads to organizational chaos, which delays the migration process or even results in failure.
Implement a Risk Management Strategy
Potential problems can arise in many ways.
For instance, depreciated data values, security, user testing, and application dependencies all need to be considered. We identify them and devise solutions to resolve them or prevent them from occurring in the first place, thus improving the process.
Approach It With an Agile Mindset
The use of agile technologies during data migration enables us to maintain high data quality thanks to frequent testing, discovering and eliminating errors as they arise, making the data migration process more transparent.
As a result, costs and schedule are more predictable, since it requires a clear division of tasks and responsibilities, as well as sticking to deadlines.
Testing
Each phase of your data migration is tested: planning, design, implementation, and maintenance. Through this process, we are able to achieve the desired result in a timely manner.