This document (including, without limitation, any product roadmap or statement of direction data) illustrates the planned testing, release and availability dates for Spotfire products and services. It is for informational purposes only and its contents are subject to change without notice. Planning to implement - generally 6-12 months out. Likely to Implement - generally means 12-18 months out.
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This is particularly helpful when the data is large - we can substentially reduce the running time of TERR by sending it only aggregated data, if that is what it needs.
Also hugely important for big data! Imagine I have an in-database pivot table that aggregates a year-long transactional data into customer profiles. I then add a number of calculated columns to it. This data is available in Spotfire memory. If I can pass it into TERR, I agilise ease of use and efficiency by a lot.
Not only terr but also to another visualisation, ie table .
I would like to see something like this that allows data from aggregated visualizations to be used as input to a data function. Simply passing the raw data in a data table removes the ability to leverage the logic already embedded in the visualization which means it has to be resetup in the R script. The ideal use case is simply being able to take a cross table viz and pass that aggregated view of data and any custom expressions to a data function directly. A side note would be being able to define a cross table also as a data table so I can create an aggregated view of a data table that can be reused in other visualizations such as in the Line from Data Table option.