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Self-service exploratory analytics

The self-service exploratory analytics pattern provides exact steps that you can follow to quickly explore, query, and analyze data present in CDP Data Lakes, public cloud storage, or on your computers in a file, and generate visual dashboards—all using Cloudera Data Warehouse.

Figure 1. Self-service exploratory analytics in a nutshell

This infographic provides a brief summary of the self-service exploratory analytics pattern. It shows how data analysts can use Cloudera Data Warehouse Experience to explore, query, and analyze data using Hue and then use the generated data sets to create visual dashboards using Cloudera Data Visualization, which can then be used by the stakeholders to draw business insights.