Data discovery stages

The data discovery process involves stages such as prototyping, visualization, bridging, replication, and transformation. These concepts applied in tandem in the context of data discovery provide value out of big data:

  • Prototyping: Generally, in any business context, projects are always under pressure and constrained to deliver under-limited resources of time and budgets. For a complex project, prototyping is an effective way of making progress when challenges are pressing, demanding, seem difficult, and are under time constraints. Prototyping is about acting before you've got the answers, about taking chances in the absence of a proven formula or a known way of solving a problem. Prototyping lets us test a hypothesis ...

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