Migration Services
Migration Services
Big data is what drives most modern businesses, and big data never sleeps. That means data integration and data migration need to be well-established, seamless processes — whether data is migrating from inputs to a data lake, from one repository to another, from a data warehouse to a data mart, or in or through the cloud. Without a competent data migration plan, businesses can run over budget, end up with overwhelming data processes, or find that their data operations are functioning below expectations.
Data migration is the process of moving data from one system to another. Organizations undertake data migrations for a number of reasons. They might need to overhaul an entire system, upgrade databases, establish a new data warehouse, or merge new data from an acquisition or other source. Data migration is also necessary when deploying another system that sits alongside existing applications.
Regardless of which implementation method you follow, there are some best practices to keep in mind:
- Back up In case something goes wrong during the implementation, you can’t afford to lose data. Make sure there are backup resources and that they’ve been tested before you proceed.
- Stick to the strategy Too many data managers make a plan and then abandon it when the process goes “too” smoothly or when things get out of hand. The migration process can be complicated and even frustrating at times, so prepare for that reality and then stick to the plan.
- Test During the planning and design phases, and throughout implementation and maintenance, test the data migration to make sure you will eventually achieve the desired outcome.
Our Methodology
Develop a migration Strategy
- Knowing Data Before migration, source data needs to undergo a complete audit.
- Cleanup Once you identify any issues with your source data, they must be resolved.
- Maintenance and protection Data undergoes degradation after a period of time, making it unreliable. This means there must be controls in place to maintain data quality.
- Governance Tracking and reporting on data quality is important because it enables a better understanding of data integrity. The processes and tools used to produce this information should be highly usable and automate functions where possible.
We deploy best talents who will ensure your work is done as well as provide new point of view into your business operations based on the support metrics that are collected. Provide recommendations and improvements based on assessments in ways that you may not have considered before.
Extract, Transform, Load
Extract First phase would involve retrieving/collect data from defined sources. During extraction, validation rules are applied to test whether data has expected values. Data that fails the validation is rejected and further processed to discover why it failed validation and remediate if possible.
Transform Second phase is transforming data based on series of rules to retrieve pure data from the source to deliver the data in its final form at the receiving end. The data is processed to make values and structure consistent across all data.
Load Third phase is load or transmitting stage aims at sending data to the receiving end.
Data Validation
During data migration it is necessary to validate the data because there is always a possibility of missing data or data corruption. Therefore, it is necessary to test whether the whole data set migrated successfully, looking at both historical and incremental data migration. We ensure that the data has been migrated correctly and that specified system transactions on the new platform are processed successfully.
Post Migration Support
The aim of any migration activity is to improve business performance and deliver competitive advantage.Our dedicated team available to offer Support in identifying and correcting system issues that may arise post-migration. This will also ensure a proper handshake between the end users and the various functional support staffs, who will need an adequate level of knowledge required to administer the new systems.