Pipeline to the Cloud – Streaming On-Premises Data for Cloud Analytics

This article discusses how to deliver enterprise-grade Apache Kafka to customers by offloading data from on-premises transactional databases to cloud-based datastores, such as Snowflake and Amazon S3 with Athena. The process involves ingesting data into Kafka, enriching it using ksqlDB, and then streaming it to the target data store. The benefits of this approach include improved performance, scalability, and flexibility, as well as enabling multiple teams within an organization to use the same data without introducing unnecessary dependencies or complexities. By using Kafka, organizations can address issues related to data security, governance, and enterprise service buses, while also providing a flexible foundation for making data available across applications and teams. The article concludes by highlighting the availability of Confluent Platform 7.8 and its latest features, including Confluent Platform for Apache Flink, mTLS Identity for RBAC Authorization, and more.

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