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Part 1 - BQL and Web Chart Sampling
In this Niagara Pro Tips video James Johnson shows how applying rollup functions to historical data allows analyzing historical data at less granular intervals such as daily or monthly aggregated values instead of the raw 15 minute intervals. Part 1 covers using BQL queries with history rollup functions and web chart sampling functions.
Part 2 - Series Transformations and Niagara Analytics
Part 2 covers using series transform graphs and Niagara Analytics.