AWS Kinesis: Best way to pull data from kinesis to third party service table

To fetch raw data from Amazon Kinesis Data Streams (related to Amazon Connect) to your Ruby on Rails application's dedicated table for processing, you have several options. Here are some recommended approaches:

1. Use the AWS SDK for Ruby: You can integrate the AWS SDK for Ruby into your Rails application to directly consume data from Kinesis Data Streams. This allows you to build a custom consumer that reads data from the stream and inserts it into your application's table.

2. Apache Flink: If you need a more robust and scalable solution, you can use Apache Flink to read data from Kinesis Data Streams. Flink is a powerful stream processing framework that can efficiently process large volumes of data in real-time. You can set up a Flink job to read from Kinesis and write to your application's database.

3. Kafka Connect: If you're already using Apache Kafka in your infrastructure, you can use Kafka Connect with the Amazon Kinesis Source Connector. This allows you to stream data from Kinesis to Kafka, and then use Kafka Connect sinks to write the data to your application's database.

4. AWS Glue: For a fully managed ETL (Extract, Transform, Load) solution, you can use AWS Glue to create a streaming ETL job. This job can read data from Kinesis Data Streams and write it to your application's database.

5. Amazon EventBridge Pipes: This is a serverless option that can route data from Kinesis Data Streams to other AWS services. You could potentially use this to send data to a Lambda function, which could then write to your application's database.

To ensure data is transferred without loss, consider the following best practices:

• Implement proper error handling and retry mechanisms in your consumer application.
• Use checkpointing to keep track of your position in the stream.
• Consider using Enhanced Fan-Out for high-performance consumers if you have multiple consumers reading from the same stream.
• Monitor your application and Kinesis stream metrics to ensure you're keeping up with the data flow.

The best approach depends on your specific requirements, such as data volume, processing needs, and existing infrastructure. Given that your application is based on Ruby on Rails, using the AWS SDK for Ruby might be the most straightforward option to start with, as it integrates well with your existing framework.
Sources
Read data from Kinesis Data Streams using other AWS services - Amazon Kinesis Data Streams
Read from Kinesis Data Streams using third-party integrations - Amazon Kinesis Data Streams
Write to Kinesis Data Streams using third-party integrations - Amazon Kinesis Data Streams