A Multinational Retail Chain Saves Millions A U.S.-based multinational retail chain wanted to optimize the current Teradata data warehouse and ensure that its analytical applications are using the most appropriate data platforms. To achieve this, the client wanted to transform batch applications and ad-hoc queries that consume expensive Teradata cycles to the Hadoop/ Hive environment. Client Overview The client wanted to identify and transform the batch and ad-hoc workload from Teradata to Hadoop. Requirements • Batch transformation includes ingestion of dependent datasets from the source data store, building batch jobs, upload transformed data to target systems, perform data validation, warranty support and production hand-off. • Ad-hoc transformation includes establishing acc

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