From financial services, to digital advertising, omni-channel marketing and retail, companies are pushing to grow revenue by personalizing the customer experience in real-time based on knowing what they care about, where they are, and what they are doing now. For growing numbers of these businesses, this means developing applications that combine the historical analysis provided by Hadoop with real-time analysis through Storm and within NoSQL databases, themselves. This session will examine the design considerations and development approaches for successfully delivering interactive applications that incorporate real-time and batch analysis using a combination of Hadoop, Storm and NoSQL. Key topics will include:· A review of the respective roles that Hadoop, Storm and NoSQL databases play.· Considerations in choosing which technology to use in areas where their capabilities overlap.· An overview of a typical solution architecture.· Strategies for addressing the diverse data types required for providing a complete view of the customers.· Approaches to managing large data types to ensure reliable real-time responses.Throughout the discussion, concepts will be illustrated by use cases of businesses that have implemented real-time applications using Hadoop, Storm and NoSQL, which are in production today.
This presentation was given at the 2014 NoSQL Matters conference in Cologne, Germany.
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