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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. Add abillity to remove events within a given time period or with given time series Id

    There are no good ways to remove data from TSI, especially during development its a pain to recreate TSI's because you can't go back and change data and if you rerun the datasets you get duplicate datapoints, at the very least an update feature should be present that is based on the event time.

    65 votes

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    5 comments  ·  Data ingestion  ·  Flag idea as inappropriate…  ·  Admin →

    This feature is in roadmap and will be exposed as part of significant platform evolution we’ll excited be rolling out targeting ~ early 2022 which will also increase scale, query performance and expose KQL flexibility to our users for a richer timeseries analysis experience, thanks for your patience while we’re heads down delivering this next wave of innovation for TSI customers.

    Thanks!
    Chris Novak [MSFT] TSI PM Lead.

  2. Support for UNIX timestamp field from devices

    Add support for UNIX timestamp from device as timestamp field (actually only ISO format is supported)

    9 votes

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    2 comments  ·  Data ingestion  ·  Flag idea as inappropriate…  ·  Admin →
  3. Add data de-duplication and upsert

    Time Series Insights doesn't have a de-duplication feature. Today duplicates are just stored in TSI and that makes the query results wrong. We have the need for de-duplication and also upsert to replace or enrich existing time series.

    5 votes

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    1 comment  ·  Data ingestion  ·  Flag idea as inappropriate…  ·  Admin →
  4. Apache Kafka as an event source to Time Series Insights

    I would like to use an existing Kafka stream to get data into Azure Time Series Insights, but the only event sources are Event Hubs or IoT Hub. Adding support for open-source such as Apache Kafka, Rabbit MQ, Active MQ, etc. would enable a lot of different scenarios.

    2 votes

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    0 comments  ·  Data ingestion  ·  Flag idea as inappropriate…  ·  Admin →
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