Skip to content

Commit 86372a3

Browse files
Merge pull request #117548 from kendaleiv/patch-36
Grammar style updates for analytical-store-change-data-capture.md
2 parents 7f89383 + b5e2734 commit 86372a3

File tree

1 file changed

+4
-4
lines changed

1 file changed

+4
-4
lines changed

articles/cosmos-db/analytical-store-change-data-capture.md

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -29,7 +29,7 @@ In addition to providing incremental data feed from analytical store to diverse
2929
- Supports applying filters, projections and transformations on the Change feed via source query
3030
- Multiple change feeds on the same container can be consumed simultaneously
3131
- Each change in container appears exactly once in the change data capture feed, and the checkpoints are managed internally for you
32-
- Changes can be synchronized "from the Beginning” or “from a given timestamp” or “from now”
32+
- Changes can be synchronized "from the beginning” or “from a given timestamp” or “from now”
3333
- There's no limitation around the fixed data retention period for which changes are available
3434

3535
## Efficient incremental data capture with internally managed checkpoints
@@ -46,7 +46,7 @@ Change data capture in Azure Cosmos DB analytical store supports the following k
4646

4747
### Capturing changes from the beginning
4848

49-
When the `Start from beginning` option is selected, the initial load includes a full snapshot of container data in the first run, and changed or incremental data is captured in subsequent runs. This is limited by the `analytical TTL` property and documents TTL-removed from analytical store are not included in the change feed. Example: Imagine a container with `analytical TTL` set to 31536000 seconds, what is equivalent to 1 year. If you create a CDC process for this container, only documents newer than 1 year will be included in the initial load.
49+
When the `Start from beginning` option is selected, the initial load includes a full snapshot of container data in the first run, and changed or incremental data is captured in subsequent runs. This is limited by the `analytical TTL` property and documents TTL-removed from analytical store are not included in the change feed. Example: Imagine a container with `analytical TTL` set to 31536000 seconds, which is equivalent to 1 year. If you create a CDC process for this container, only documents newer than 1 year will be included in the initial load.
5050

5151
### Capturing changes from a given timestamp
5252

@@ -85,7 +85,7 @@ You can create multiple processes to consume CDC in analytical store. This appro
8585

8686
### Throughput isolation, lower latency and lower TCO
8787

88-
Operations on Cosmos DB analytical store don't consume the provisioned RUs and so don't affect your transactional workloads. change data capture with analytical store also has lower latency and lower TCO. The lower latency is attributed to analytical store enabling better parallelism for data processing and reduces the overall TCO enabling you to drive cost efficiencies in these rapidly shifting economic conditions.
88+
Operations on Cosmos DB analytical store don't consume the provisioned RUs and so don't affect your transactional workloads. Change data capture with analytical store also has lower latency and lower TCO. The lower latency is attributed to analytical store enabling better parallelism for data processing and reduces the overall TCO enabling you to drive cost efficiencies in these rapidly shifting economic conditions.
8989

9090
## Scenarios
9191

@@ -111,7 +111,7 @@ Change data capture capability enables an end-to-end analytical solution providi
111111

112112
The linked service interface for the API for MongoDB isn't available within Azure Data Factory data flows yet. You can use your API for MongoDB's account endpoint with the **Azure Cosmos DB for NoSQL** linked service interface as a work around until the Mongo linked service is directly supported.
113113

114-
In the interface for a new NoSQL linked service, select **Enter Manually** to provide the Azure Cosmos DB account information. Here, use the account's NoSQL document endpoint (ex: `https://<account-name>.documents.azure.com:443/`) instead of the Mongo DB endpoint (ex: `mongodb://<account-name>.mongo.cosmos.azure.com:10255/`)
114+
In the interface for a new NoSQL linked service, select **Enter Manually** to provide the Azure Cosmos DB account information. Here, use the account's NoSQL document endpoint (Example: `https://<account-name>.documents.azure.com:443/`) instead of the Mongo DB endpoint (Example: `mongodb://<account-name>.mongo.cosmos.azure.com:10255/`)
115115

116116
## Next steps
117117

0 commit comments

Comments
 (0)