Apache Kafka is adopted by enterprises of all sizes as a high-performance, fault-tolerant messaging system. When considering how to load data into Kafka, users need to determine how to collect source data in a streaming fashion without impacting the system and how to transform that data into the format required for Kafka consumers. Neither of these steps should require any coding resources or complex APIs, yet should be flexible enough to cover a wide range of use cases.
In this practical tech guide, you’ll learn how Striim’s streaming data integration platform integrates with Kafka as a source and target and ships with Kafka built in, supporting even the most high-volume environments. Along with customer use case examples, you will access step-by-step instructions with screen captures on how to build an integration solution from a MySQL database to Apache Kafka with in-flight data processing.
Download this free tech guide now to get the insider’s view on how Striim’s technology can help you best harness the capabilities of Kafka.