debezium.io postgresql kafka-connect sample pipeline
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Updated
May 7, 2020 - Dockerfile
debezium.io postgresql kafka-connect sample pipeline
Data capture change by using Embedded Debezium, control via REST and some usecases
Change Data Capture (CDC) refers to sourcing database change events from a source database. While there are commercial solutions available in the market, Debezium is available as an open-source option. In this blog post, I am going to show you how to install the Debezium MySQL Connector on Ubuntu machines using Google VM instances.
change data capture (CDC) to ingest binlogs from the source database, process them, and write them to the target database correctly, completely, and instantly in real time. using docker-compose,Kafka connectors (debezium, jdbc sink), compute engine, cloud sql, database mysql, confluent.
Driven by curiosity, I created small an event-driven ecosystem using Kafka, Kotlin, and Go, with MySQL, MongoDB, and H2. It started as a simple Kotlin-based Customer Service, but grew into something much more.
Event Management and Ticket Sales Microservices (WIP)
Simple Kafka Change Data Capture Example
A simple wikipage project built with FastAPI and Svelte.
Processing database events and sink it to different data storage
Implementation of CDC based on Docker, Kafka, and Debezium Engine. Front & Back End Connection: React → Spring → DB structure to enable access to Source Database manipulation and Sink Database
Order creation with orchestration-based saga
Category management system uses Apache Kafka and Debezium for real-time data streaming, while EF Core and PostgreSQL ensure secure storage. It prioritizes user experience and utilizes Elasticsearch for efficient data indexing.
Kafka with Debezium and Oracle Logminer using Docker
Stream CDC into an Amazon S3 data lake in Apache Iceberg format with AWS Glue Streaming and MSK Connect (Debezium)
Working sample project to help learn debezium and how it works.
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