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to manage the 2KB insertion limit in Amazon Timestream, a strategic approach to data organization is essential. One effective method is employing multi-measure records, which allow the inclusion of multiple measurements within a single record. This technique is particularly advantageous for applications that simultaneously generate multiple data points, such as in the fields of video streaming or medical device monitoring. By arranging your data in this manner, you can maximize the content within the 2KB limit while adhering to Timestream's structural requirements
https://docs.aws.amazon.com/timestream/latest/developerguide/writes.html
In addition to data structuring, understanding and working within the operational boundaries of Timestream is crucial. The platform is designed to automatically scale up in response to data ingestion demands. If you encounter throttling, maintaining or increasing your data throughput can prompt Timestream to adjust its capacity to fit your needs. However, it's important to be aware of the limits, especially concerning the maximum capacity of the magnetic store partitions, to prevent throttling issues. Familiarity with the specific quotas and constraints of Timestream, such as the limits on dimensions per table and the size constraints of dimension and measure value pairs, is key to optimizing your data storage within the platform's parameters
https://docs.aws.amazon.com/timestream/latest/developerguide/troubleshoot-writethrottles.html https://docs.aws.amazon.com/timestream/latest/developerguide/ts-limits.html https://dev.to/aws-builders/amazon-timestream-h42
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