May 2019
Intermediate to advanced
504 pages
11h 50m
English
The aggregation of certain data dimensions can be done on the data store level. In fact, as developers with a SQL background, we are familiar with SQL views that can be composed of multiple relational tables and can be indexed on the data store level. Similar strategies can be applied to NoSQL databases such as Cosmos.
For instance, this data denormalization process can be executed on Cosmos DB using the Azure Cosmos DB change feed. Changes on one document collection can be synchronized across multiple collections, which are optimized for executing various searches or aggregating data operations:

For instance, going back ...
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