A data lake becomes a data swamp in the absence of comprehensive data quality validation and does not offer a clear link to value creation. Organizations are rapidly adopting the cloud data lake as the data lake of choice, and the need for validating data in real time has become critical.
Accurate, consistent, and reliable data fuels algorithms, operational processes, and effective decision-making. Existing data validation approaches rely on a rule-based approach that is resource-intensive, time-consuming, costly, and not scalable for thousands of data assets. There is an urgent need to adopt a cost-effective data validation approach that is scalable for thousands of data assets.
