How do I configure Salesforce Data Cloud to stream real time customer interaction events directly into our AWS S3 data lake storage?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I configure Salesforce Data Cloud to stream real time customer interaction events directly into our AWS S3 data lake storage?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
Salesforce Data Cloud real-time streaming export events directly to Amazon S3 data lake data actions connector documentation Google ↗
Salesforce Data Cloud Amazon S3 connector outbound activation streaming data actions documentation Google ↗
- Create a Data Action in Data 360 · help.salesforce.com
- Amazon S3 Storage Connector | Data 360 Integrations | Data 360 Integration Guide · developer.salesforce.com
- Data Flow · help.salesforce.com
- Set Up an Amazon Kinesis Target Connection · help.salesforce.com
- Data Action Targets in Data 360 · help.salesforce.com
- Data Actions in Data 360 · help.salesforce.com
- Salesforce Data Actions · help.salesforce.com
- Salesforce Data Action Targets · help.salesforce.com
- Salesforce Data Ingestion API · developer.salesforce.com
- AWS Kinesis Data Firehose · docs.aws.amazon.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Salesforce Data Cloud real-time streaming export events directly to Amazon S3 data lake data actions connector documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Salesforce Data Cloud Amazon S3 connector outbound activation streaming data actions documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |