How is apache kafka used in apache postgresql?

Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages. Large ecosystem of open source tools: Leverage a vast array of community-driven tooling.
Subsequently, how to stream PostgreSQL data to Kafka?
Kafka Connect: This will be used to stream data between PostgreSQL and Apache Kafka. You will use it to define connectors that will help us move data from PostgreSQL in and out of Kafka. Debezium: This will help us convert WALs (write-ahead logs) into a data stream. You will then use Kafka Connect API to stream data from the database into Kafka.
Furthermore, what is the purpose of the Apache Kafka platform? Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
Additionally, can you use Apache Kafka with AWS Lambda?
Lambda supports Apache Kafka as an event source. Apache Kafka is a an open-source event streaming platform that supports workloads such as data pipelines and streaming analytics. You can use the AWS managed Kafka service Amazon Managed Streaming for Apache Kafka (Amazon MSK), or a self-managed Kafka cluster.
Accordingly, how to create a trigger in Apache Kafka?
Choose the key type. If your Kafka broker uses SASL plaintext, choose BASIC_AUTH. Otherwise, choose one of the SASL_SCRAM options. Choose the name of the Secrets Manager secret key that contains the credentials for your Kafka cluster. To create the trigger, choose Add .

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