Replicate data from MySQL, Postgres and MongoDB to ClickHouse
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Updated
Jul 20, 2024 - Python
Replicate data from MySQL, Postgres and MongoDB to ClickHouse
Nyc_Taxi_Data_Pipeline - DE Project
Data Pipeline for CDC data from MySQL DB to Amazon S3 through Amazon MSK using Amazon MSK Connect (Debezium).
Data Pipeline for CDC data from MySQL DB to Amazon S3 through Amazon MSK Serverless using Amazon MSK Connect (Debezium).
This project demonstrates how to capture changes from a PostgreSQL database and stream them into Kafka using Debezium. It showcases a robust and scalable way to track and propagate data changes in real-time, ensuring your systems stay synchronized and up-to-date.
a Network Intrusion Detection System (NIDS) using machine learning, network traffic analysis, and SIEM tools. The system captures network packets, processes them, and identifies anomalies to alert administrators.
Repo for CDC with debezium blog post
Stream CDC into an Amazon S3 data lake in Apache Iceberg format with AWS Glue Streaming using Amazon MSK Serverless and MSK Connect (Debezium)
Stream CDC into an Amazon S3 data lake in Apache Iceberg format with AWS Glue Streaming using Amazon MSK and MSK Connect (Debezium)
This repository provides a robust real-time sales data pipeline powered by Apache Kafka, Debezium, Apache Spark, MySQL, and Metabase. It streamlines the seamless ingestion, processing, storage, and visualization of sales data streams, enabling efficient real-time analytics and insights.
Data Streaming with Debezium, Kafka, Spark Streaming, Delta Lake, and MinIO
Пример создания CDC через Debezium
DataStream-SQLServer provides real-time data streaming from SQL Server using Zookeeper, Kafka, and Debezium. This repository contains the necessary configurations, Docker setups, and sample code to get you started.
University course management application + CDC analytics pipeline
Ecommerce Realtime Data Pipeline (Data Modeling, Workflow Orchestration, Change Data Capture, Analytical Database and Dashboarding)
Django with Kafka, Debezium, and Faust for Email Sending using Change Data Capture
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