Home icon

Best practices to implement near-real-time analytics using Amazon Redshift Streaming Ingestion with Amazon MSK

Big Data Blog



This article discusses best practices to implement near-real-time analytics using Amazon Redshift Streaming Ingestion with Amazon MSK (Amazon Managed Streaming for Apache Kafka).

Specifically, the article covers:

  • Overview of the solution architecture
  • Prerequisites for setting up the solution
  • Considerations for configuring the MSK topic
  • Steps to set up streaming ingestion from MSK to Redshift
  • Unnesting the JSON data from the MSK topic in Redshift
  • Implementing an incremental data load strategy using a stored procedure
  • Establishing cross-account streaming ingestion
  • Performance considerations for optimizing ingestion rate
  • Monitoring techniques to track failures and errors
  • Additional considerations for implementation


Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

Feb 21
2024
Simplify data streaming ingestion for analytics using Amazon MSK and Amazon Redshift
Feb 14
2024
Perform near real time analytics using Amazon Redshift on data stored in Amazon DocumentDB
Apr 10
2024
Achieve near real time operational analytics using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift
Aug 4
2025
Near real-time streaming analytics on protobuf with Amazon Redshift

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.