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Analytics On The Bleeding Edge: Transforming Data's Influence

Occam's Razor

The other dimension to consider is most Analtyics teams kick into gear after the campaign is concluded, after the customer interaction has taken place in the call center, and after the funds budgeted have already been spent. So what does a strongly proactive and truly influential data strategy at the bleeding edge look like?

Analytics 131
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Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

Typical use cases for DynamoDB are an ecommerce application handling a high volume of transactions, or a gaming application that needs to maintain scorecards for players and games. In traditional databases, we would model such applications using a normalized data model (entity-relation diagram).