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Randy W.
RW
Data analytics to first measure, then improve, then maintain the performance of your Concrete Plant. Let me show you.

Best way to minimize latency when using large data sets

I use the Toucan in a multi-tenant situation. I sometimes need to pull in large datasets that have thousands of lines based on duration periods. I'm trying to decide the best way to do this... If I use a live query, it can take too long to fetch and render the data in Toucan. Using the pre-fetched data, that dataset becomes very large and also creates delays in the rendering to the screen. Is there a way to construct a date function with the ability to pull data over a week, or two weeks, allowing the size of the dataset to remain manageable? Without the date picker native functionality, the user might can pick an entire month and have a very long refresh event. Has anyone else solved this problem?
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Randy W.
RW
Data analytics to first measure, then improve, then maintain the performance of your Concrete Plant. Let me show you.
0
Com a funcionalidade nativa do seletor de data....
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