Update README.md

typo

Author: AlexanderHodicke

data-platform/open-source-data-platforms/oci-data-flow/README.md

@@ -27,13 +27,13 @@ Reviewed: 05.06.2024
 When using OCI Data Science to build and deploy an OCI Data Flow application. Using the notebook sessions, you can either directly interact with an OCI Data Flow cluster in-line and test your Spark code, and afterwards easily deploy and run the OCI Data Flow application.
 
 - [Load data from OCI Data Flow into Autonomous Database](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/open-source-data-platforms/oci-data-flow/code-examples/load-data-to-adw)
-When you are planning to use Autonomous database as a source and/or Autonomous database as target when running an OCI Data Flow application.
+When you are planning to use an Autonomous Database as a source and/or Autonomous Database as a target when running an OCI Data Flow application.
 
 - [Connect to Salesforce using OCI Data Flow](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/open-source-data-platforms/oci-data-flow/code-examples/salesforce)
 When you are looking to use Salesforce data in your OCI Data Flow application, you can use the script to establish the connection and query relevant Salesforce data.
 
 - [Run OCI Data Flow from OCI Functions](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/open-source-data-platforms/oci-data-flow/code-examples/run-from-functions)
-When in your overall flow OCI Functions is used (e.g., based on event) to start a OCI Data Flow job run.
+When in your overall flow OCI Functions are used (e.g., based on an event) to start an OCI Data Flow job run.
 
 # License