Dataverse: Let’s Try Elastic Table (Preview)
The article discusses the concept of Elastic Tables in Dataverse, which is a new way to store data in Azure Cosmos DB for heavier workloads with unstructured or semi-structured data models. The author provides a benchmark comparison between a normal table and an elastic table, showing the performance differences in creating and reading data. The article also mentions the ability to auto-delete data using the ttlinseconds attribute and provides an example of querying data using KQL. Overall, Elastic Tables offer flexibility and scalability for managing data in Dataverse.
Article 17m
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