Real-Time Ingestion of Salesforce Data into AWS Data Lake
Achieving real-time data ingestion from Salesforce into an AWS data lake typically involves leveraging streaming capabilities and event-driven architectures. Here are the primary methods:
1. Salesforce Data Cloud (Real-Time Ingestion API) with Amazon S3 Data Streams
Details: Salesforce Data Cloud offers a Real-Time Ingestion API that allows you to stream data as it changes in Salesforce. You can then create an Amazon S3 Data Stream within Data Cloud to receive this real-time data and land it in your S3 data lake.
Key Features: Near real-time data synchronization, leverages Salesforce’s streaming capabilities, direct integration within Data Cloud.
Considerations: Requires Salesforce Data Cloud license, data needs to be modeled within Data Cloud, billing is based on Streaming Standard Rate Table (SSRT) events and API usage.
2. Salesforce Platform Events or Change Data Capture (CDC) with Amazon Kinesis Data Streams and AWS Glue Streaming
Details:
- Salesforce Platform Events: A secure and scalable real-time event messaging platform within Salesforce. You can publish events when records are created, updated, or deleted.
- Salesforce Change Data Capture (CDC): Provides a reliable stream of change events for Salesforce records, capturing changes in near real-time.
Key Features: Near real-time data flow, leverages Salesforce’s eventing capabilities, scalable AWS streaming and processing.
Considerations: Requires configuration of Platform Events or CDC in Salesforce, development of an application (e.g., using a Salesforce connector for Kinesis) to push events to Kinesis, and setting up an AWS Glue Streaming job to consume and process the Kinesis stream.
3. Amazon AppFlow with Real-Time Event Subscriptions (Limited Availability)
Details: While Amazon AppFlow is primarily known for batch data transfers, it has some capabilities for real-time event subscriptions with certain connectors, including Salesforce. This allows AppFlow to trigger flows based on events in Salesforce and land data in S3.
Key Features: Low-code/no-code real-time data flows (where supported), managed service.
Considerations: Real-time event subscription support in AppFlow for Salesforce might have limitations in terms of supported events and latency. Check the latest AppFlow documentation for current real-time capabilities.
4. Third-Party Real-Time ETL/ELT Tools
Details: Several third-party ETL/ELT tools are designed for real-time data integration and offer connectors for both Salesforce and AWS data lake services (S3, Kinesis, etc.). These tools often provide robust features for real-time transformations and monitoring.
Key Features: Purpose-built for real-time data, pre-built connectors, advanced transformation capabilities, often with user-friendly interfaces.
Considerations: Involves costs associated with the third-party tool.
Choosing the right method depends on your specific requirements for latency, data volume, complexity of transformations, existing infrastructure, and budget. Salesforce Data Cloud and the combination of Salesforce Events/CDC with Kinesis and Glue Streaming are generally preferred for low-latency, real-time data ingestion into an AWS data lake.
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