Data warehouses need a makeover. The once venerable data environment has been pushed to its limit by big data and exploratory analysis.

A major limitation is the need to design and synchronize a variety of data models before loading data and modifying attributes. Organizations are exploiting new technologies to increase the scale, flexibility, performance, and speed of deployment of their decision-making environments.

This white paper will explore three of these technologies: big data running on Hadoop and NoSQL platforms; in-memory computing and its multiple offshoots; and data mapping rules and algorithms that speed deployments and minimize the need for technical resources to develop data sets. All approaches share one thing in common: they minimize, and in some cases, eliminate the need for upfront or extensive modeling before users can query data.

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