Use Stream Analytics
If this is your first time using OCI GoldenGate Stream Analytics, use this information to get yourself started. If you already created your Stream Analytics deployment, you can skip directly to Launch the deployment console.
Stream and analyze taskflow
Task | Description | More information |
---|---|---|
Review Security best practices | Develop a firm understanding of your responsibilities to keep your OCI GoldenGate deployments and connections secure. | Securing OCI GoldenGate |
Create OCI resources | This task is typically performed by an administrator. Ensure that the required networking resources are created before you begin. | Create Oracle Cloud resources |
Create deployments | A deployment is a container for your OCI GoldenGate resources. | |
Create connections | A connection contains the network connectivity details for a data source or target. | About connections |
Assign connections to deployments | To use a connection as a source or target, you must assign it to a deployment. | Create an association between connections and deployments |
Launch the Stream Analytics console | Create your data replication processes in the Stream Analytics console. | Access Stream Analytics |
Create a stream | A Stream is a source of continuous and dynamic data. The data can be from a wide variety of data sources such as IoT sensors to information from geospatial services or social networks. | Create Streams |
Create a pipeline | A pipeline includes a sequence of data processing stages such as, Query, Pattern, Rule, Query Group, Custom, and Scoring. | Create a Pipeline |
Add Business Logic | Transform the input data stream, add business logic to the pipeline to analyze the input data stream. |
See Transform See Analyze |
Publish the Pipeline | To make the pipeline available for all the users of Oracle Stream Analytics and send data to targets, you must publish a pipeline. | Publishing a Pipeline |
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