Optimize Data Efficiency and Query Performance for Azure Time Series Insights Event Handler

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To optimize query performance and send data efficiently over the network while using Azure Time Series Insights event handler, the recommended approach is to use a Tag ID instead of sending all properties or using reference data.

A Tag ID is a unique identifier assigned to a piece of data that represents a particular point in time. It allows the user to query data more efficiently by filtering the results based on the Tag ID, rather than sending all properties for each data point. This method also reduces the amount of network traffic and improves query performance.

In contrast, sending all properties for each data point can result in a significant amount of network traffic, especially when dealing with large amounts of data. This approach can also negatively impact query performance, as more data needs to be processed and filtered for each query.

Using reference data can be useful in some scenarios, but it is not specifically related to optimizing query performance or network efficiency. Reference data allows the user to enrich the data with additional contextual information, such as metadata or static data, which can be used to create more informative queries.

Creating a query plan is also not directly related to optimizing query performance or network efficiency in the context of Azure Time Series Insights event handler. A query plan is a set of instructions that the database engine uses to execute a particular query. While creating a query plan can help optimize query performance, it is not related to network efficiency.

In summary, the best approach to optimize query performance and send data efficiently over the network when using Azure Time Series Insights event handler is to use a Tag ID instead of sending all properties or using reference data.