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  1. SAFe Program
  2. SP-3092

Testing the behaviour of X with massive data.

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      As part of a possible adaptation or complementation of Vis tools, it would be interesting to know how some of the Viz services behave with access to extremely large data (and their subsequent visualisation). Knowing these limits and knowing how these tools perform on the data-computing binomial would enable a first approach to the study of the desirable characteristics for the visualisation of extremely large data.

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      As part of a possible adaptation or complementation of Vis tools, it would be interesting to know how some of the Viz services behave with access to extremely large data (and their subsequent visualisation). Knowing these limits and knowing how these tools perform on the data-computing binomial would enable a first approach to the study of the desirable characteristics for the visualisation of extremely large data.
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      AC1: Providing a set of data files for a Viz Tool with complexity/size features. AC2: Monitor the behaviour with the ingestion of these files, of the backend/infra metrics where the Viz Tool is running.

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      AC1: Providing a set of data files for a Viz Tool with complexity/size features. AC2: Monitor the behaviour with the ingestion of these files, of the backend/infra metrics where the Viz Tool is running.
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      Comments:
      AC1: Providing a set of data files for a Viz Tool with complexity/size features. AC2: Monitor the behaviour with the ingestion of these files, of the backend/infra metrics where the Viz Tool is running.

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              r.bolton Bolton, Rosie
              M.Parra Parra, Manuel
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