Once all of the processing related to data is completed, it is organized and stored in such a way that consumers of data can begin using the data. This act is equivalent to publishing data and making it available for usage.
Data usage generally drives how data is organized and stored. Time series data is generally organized by time dimensions. For example, we could organize data coming from Internet of Things (IoT) devices in the following hierarchy:
- Year
- Month
- Day
- Hour
- Minute
In this context, year, month, day, hour, and minute are the functions of the event occurrence time. For example, if the occurrence time is 2018-10-31 15:30:45 UTC, then it will have the following values:
- Year = 2018
- Month = 10
- Day = 31
- Hour = 15
- Minute = 30
Another way to organize the data could be by using the device type, or even a mix of both time dimensions and device type...
