Explanation:
Batch data can be run weekly, monthly, or even yearly.

Explanation:
https://docs.microsoft.com/en-us/azure/cosmos-db/create-cosmosdb-resources-portal

Explanation:
You can use the Gremlin language to create graph entities (vertices and edges), modify properties within those entities, perform queries and traversals, and delete entities.
https://docs.microsoft.com/en-us/azure/cosmos-db/graph/gremlin-support
https://docs.microsoft.com/en-us/azure/cosmos-db/graph-introduction

Explanation:
Dimensions: In a star schema, the entities by which you aggregate or slice measures are called dimensions. Dimensions are the descriptive attributes or perspectives of the data that provide the context for the measures (also known as facts) in the model.
For example, in a sales data star schema, the dimensions could be time, product, store location, and customer. These dimensions provide context for the sales measures such as total sales, units sold, and revenue. By aggregating or slicing the measures by different dimensions, you can gain insights into the data from different perspectives.