One of the biggest challenges in a data migration project is the ability to validate thousands of tables containing billions of records within defined timelines while also achieving the desired test coverage. So read this guide and get some insights about challenges in data migration testing
It is necessary to remark that testing a data migration must start properly in advance of the actual data being migrated.
It is very typical that one of the essential commodities that a business control, owns, or controls is its data and hence any data migration must be considered high risk and should be implemented to significant verification and validation efforts.
A business may decide to reduce the risk level against the data migration, but it is always reasonable to start off with data migration as a high-priority task to make sure it is successful.
Some important trends and solution patterns that must be analysed while creating efficient data migration testingare agile, big data, DevOps, cloud, service virtualization with TDM, accelerators and domain-specific solutions, and automation to reduce time-to-market and increase efficiency.
This document gives some of the keys consideration points to a test team so that effective test planning and strategizing can be achieved for an ETL project.
Intricate problems with any Big Data Migration include data quality, policy adherence, governance, and validation just to name a few.
QualiDI addresses these problems and more through its different, full-service design. QualiDI is a programming-less, test-automation tool that performs execution of Big Data for data processing a success.