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- [Cloud Based Integration. Integration Platform-as-a-Service (iPaaS) solutions](#cloud-based-integration-integration-platform-as-a-service-ipaas-solutions)
- [Red Hat Fuse and Red Hat Fuse Online](#red-hat-fuse-and-red-hat-fuse-online)
- [Syndesis open source integration platform](#syndesis-open-source-integration-platform)
- [Debezium open source distributed platform for change data capture](#debezium-open-source-distributed-platform-for-change-data-capture)
- [Debezium open source distributed platform for Change Data Capture (CDC) software design pattern](#debezium-open-source-distributed-platform-for-change-data-capture-cdc-software-design-pattern)
- [Red Hat Integration service registry and Apicurio](#red-hat-integration-service-registry-and-apicurio)
- [Data Processing (aka Streaming Data, Data Pipeline or Big Data Pipeline)](#data-processing-aka-streaming-data-data-pipeline-or-big-data-pipeline)
- [Apache Kafka](#apache-kafka)
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- [**Syndesis** open source integration platform](https://syndesis.io/) (OpenSource Project for **Red Hat Fuse Online**)
- [developers.redhat.com: Low-code microservices orchestration with Syndesis](https://developers.redhat.com/blog/2020/03/25/low-code-microservices-orchestration-with-syndesis/)
## Debezium open source distributed platform for change data capture
## Debezium open source distributed platform for Change Data Capture (CDC) software design pattern
- **Change Data Capture**, or **CDC**, is a well-established **software design pattern** for a system that monitors and captures the changes in data so that other software can respond to those changes. CDC captures row-level changes to database tables and passes corresponding change events to a data streaming bus. Applications can read these change event streams and access these change events in the order in which they occurred.
- [**Debezium**:](https://debezium.io/) Stream changes from your database
- [developers.redhat.com: Decoupling microservices with Apache Camel and Debezium](https://developers.redhat.com/blog/2019/11/19/decoupling-microservices-with-apache-camel-and-debezium/)
- [A good explanation of how to avoid distributed transactions using outbox pattern: Transaction Log Tailing With Debezium](https://medium.com/trendyol-tech/transaction-log-tailing-with-debezium-part-1-aeb968d72220)
- [developers.redhat.com: Capture database changes with Debezium Apache Kafka connectors](https://developers.redhat.com/blog/2020/04/14/capture-database-changes-with-debezium-apache-kafka-connectors/)
## Red Hat Integration service registry and Apicurio
- [Red Hat Integration service registry](https://developers.redhat.com/blog/2019/12/16/getting-started-with-red-hat-integration-service-registry/)