Characteristics of Good Visual Analytics and Data Discovery Tools

  1. Three of the most popular opportunities are September, Qlik and TIBCO Spotfire. To compare and evaluate the tool type, use the following list to make the right decision for your project:
  2. Use an easy-to-use and easy-to-use interface for business users to create a mild vision
  3. Different types of imaging, such as scoring point points, histogram, spraying, treemaps, sensor pad results and more
  4. Link to different data sources (eg Oracle, NoSQL, Hadoop, SAP Hana, cloud services)

 

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Default Asked on August 21, 2018 in Software Testing.
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