Pro-active analysis and resolution for a global retailer
We performed pro-active analysis and deep dive of the systems of a global retail giant and found large number of technical and functional issues. Following which, we optimized and improved performance in base model of ODS, changed key functionality of image rank, deployed auto data purging with changes in hints,
partitioning, parallelism and few changes in their data model.
This enabled us to improve functionality and bring about cost savings
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