RDBMS Hadoop Migration-Integration for U.S multi-channel Mobile Engagement firmTelecommunication

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An U.S multi-channel Mobile Engagement firm was facing overnight batch job delays stemming from scalability challenges of existing ETL architecture, while an explosive growth of data volume was imminent. The delay had a direct impact on revenue and brand value; hence the firm was looking out for faster, future-proof data storage and processing solutions that can support Analytics/Machine Learning, at scale.

Noah Data followed a blended approach of re-architecting, migrating, and integrating RDBMS and Hadoop, to solve the pressing issue of batch job delays while meeting the client’s transition objectives. The process-intensive data operations were run in Hadoop cluster (not in RDBMS), and the overnight batch job processing time came down from more than 11 hours to under 3 hours.

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