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Construyendo una aplicación con Change Data Capture (CDC) utilizando Debezium, Kafka y NiFi

Wednesday Links - Edition 2024-10-23

Building a Scalable Data Platform: Addressing Uncertainty in Data Requirements with AWS

Tracking User Account Changes in Real-Time: A Debezium and ClickHouse Implementation

Why AWS DMS is loved by ETL experts

Hands-On Guide: Implementing Debezium for PostgreSQL to Kafka Integration

Shipping Data in Real Time Debezium : Part 1

Build a Real-time Materialized View from Postgres Changes using Confluent’s ksqlDB

Fan-out from Postgres with Change Data Capture using Debezium and Upstash Redis

Saga, CDC with Transactional Inbox/Outbox

Change Data Capture with Serverless Postgres

Running Debezium On Kubernetes

Streamlining CDC with MySQL, Debezium, Azure Event Hubs, and Functions

Write your own SQL Server CDC Application

Change Data Capture from Amazon RDS to Apache Kafka® with Debezium

7 advantages of using log-based CDC vs other methods

7 reasons why a user would need to query Amazon S3 directly

Quick tip: Streaming data from MongoDB Atlas to SingleStore Kai using Kafka and CDC

Track every PostgreSQL data change using Debezium

DataBrew - a new way of integrating CDC into your project

Part 4: Validating CDC Messages with Schemaverse

ClickHouse Advanced Tutorial: Apply CDC from MySQL to ClickHouse

Part 3: Transforming MongoDB CDC Event Messages

Part 2: Change Data Capture (CDC) for MongoDB with Debezium and Memphis.dev

Change Data Capture vs Database Conversion: Use Cases and Key Differences.

Part 1: Integrating Debezium Server and Memphis.dev for Streaming Change Data Capture (CDC) Events

Apply CDC From MySQL To Clickhouse on local environment

Supabase CDC Webhooks to Memphis REST Gateway

AWS DMS and Prefect: The Key to Building a Robust Data Warehouse

Example of applying CDC to JSON files with PySpark