Page Comparison

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If the data is not aggregated at a daily level, an event could also be shared at a week, month, year level as well by just defining a startDate and endDate.

{
    "startDate": "2019-01-01",
    "endDate": "2019-02-01",
    "grade": 1,
    "school_id": 901,
    "count": 23
}

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If you have a requirement to increase this limit, please reach out to us. The lowest bucket_size that cQube would support would be a day.

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1. Impact on Datasets

   • cQube Datasets are optimized for query based on dimensions. Indexes are defined as part of the schema.

2. Impact on Input Data

   • The input data is validated against the dimension data before being persisted.

   • The event schema should always reference a dimension for this to work.

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1. How the dataset is defined

2. How it is liked linked to dimensions

3. Which fields needs need to be cached/indexed to be queried faster

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• counter (def) - allows for aggregations as sum, count, percentage, min, max, avg, percentile

• Future instruments to be implemented - meter, gauge, histogram.

Assumptions

1. Since it’s not a frequent use case, Dimension updates and deletion are not supported. In case this is needed they can just create a new dimension, update the mapping to datasets and refresh the datasets.

2. Event Sourcing is used extensively in the entire architecture, which allows for

   1. Replaying events