Migration

The initial planning is the most important step in the process. It is required to understand the details such as source and destination systems, type of the database, quality, accessibility and availability of the data, what data needs to be converted, analyzing data format, conversion cycles, and other requirements. These details are extremely important to define the scope of the migration.

Conducting a comprehensive data assessment is essential to understand the source data's profile. Data profiling systematically analyzes table columns to identify defects and ensure compliance with target system requirements. At AMS Experts, we employ various tools and techniques for data profiling, enabling us to evaluate data quality and volume effectively.

The step involves the understanding of the source and the destination system, data structure and clearly define the source and destination mapping of the data elements based on the business rules.

It is a technical step where we create data migration scripts and define the data transformation routines. The steps involve data cleansing, data validation, exception handling, integrity, and data transformation. The output of the process is full dataset in the desired format for the destination system.

After the data migration, data validation is a critical step of ensuring the success of the migration. Data validation is done using the scripts, reports from the source and destination database and manual comparison of the data from the front end using the selective data sample.

It is the final step of the migration which includes a full migration, pre and posts validation, and data archival for the non-converted historical data.