Building a Data Lake in AWS - Engineering provides revenue intelligence and CRM data input automation by analyzing business activities and matching them with business entities. Until recently, most of their data stores served both online and offline data processing tasks, which required expensive replicas or oversized clusters. Here's how fully separated online and offline storage and used optimal technology for both.


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