Azure Time Series Insights

Azure Time Series Insights is an end-to-end Platform-As-A-Service offering to ingest, process, store, and query highly contextualized, time-series-optimized IoT-scale data that’s ideal for ad-hoc data exploration, as well as operational analysis. Azure TSI is a uniquely extensible and customized service offering that meets the broad needs of industrial IoT deployments.

More details about the service are available Time Series Insights documentation.

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  1. Increase the limit of events that can be downloaded by TSI

    Downloading events from TSI is currently limited to 10000 events. This is probably because the query API is limited to 10000 events per query. Please consider increasing this limit.

    14 votes

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    2 comments  ·  Time series query API  ·  Flag idea as inappropriate…  ·  Admin →
  2. 12 votes

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    1 comment  ·  Time series query API  ·  Flag idea as inappropriate…  ·  Admin →
  3. Retrieve markers added by users on charts

    It could be greate to be able to retrieve via API markers that analysts have spotted using Azure TSI, in order to persist and use those markers elsewhere.

    7 votes

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    0 comments  ·  Time series query API  ·  Flag idea as inappropriate…  ·  Admin →
  4. Increase maximum number of concurrent connections per environment

    Currently, only 20 concurrent connections are allowed which limits usage of the API heavily. Would be great if this was increased to a larger amount per environment.

    7 votes

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  5. 5 votes

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    2 comments  ·  Time series query API  ·  Flag idea as inappropriate…  ·  Admin →
  6. DayOfWeek in DateTime Functions

    You can get the monthOfYear and the dayOfMonth but not the dayOfWeek. For our requirements it would be very helpful to have this possibility.

    Example
    We need only the days from monday to friday, within a daterange greater than x months.

    4 votes

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    0 comments  ·  Time series query API  ·  Flag idea as inappropriate…  ·  Admin →
  7. Mode Aggregate function with Time Series Insights

    We have a requirement to aggregate data using MODE function ( returns the most occurring value from the given time range. Does Azure TSI supports this? Please suggest.

    4 votes

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  8. Timestamp documentation

    The timestamp is an important factor in the Azure Time Series Insights. But there is no proper documentation regarding the format, the best practices to send timestamp in UTC (or in any other format) from the IoT device. It will be extremely helpful if there is proper documentation for this scenario.

    4 votes

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  9. Fix search span and interval misalignment issue in AggregateSeries queries

    When aggregating data in TSI, you must provide an interval and a search span.

    Sometimes the intervals start before the search span instead of at the specified "from" time. This also results in inconsistent number of intervals being returned.

    e.g.

    "aggregateSeries": {

        "interval": "P1M",
    
    "searchSpan": {
    "from": "2020-11-01T00:00:00Z",
    "to": "2020-12-31T23:59:59.999Z"
    },
    ....

    }

    TSI returned 3 intervals with timestamps:

    - "2020-10-03T00:00:00Z"
    - "2020-11-02T00:00:00Z"
    - "2020-12-02T00:00:00Z"

    We expect 2 intervals with timestamps:
    - "2020-11-01T00:00:00Z"
    - "2020-12-01T00:00:00Z"
    | |

    2 votes

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