Change Data Capture and Stream Processing Guide

This technical guide outlines the integration of Change Data Capture (CDC) and stream processing technologies, which are essential for real-time data management. It explains how CDC continuously tracks changes in data sources and transmits these changes in real-time, ensuring that analytics systems operate with the most current data. The guide details three primary methods of implementing CDC: log-based, trigger-based, and query-based approaches, each with unique advantages and considerations. Furthermore, it discusses various CDC tools, including Debezium, AWS Database Migration Service, and Oracle GoldenGate, highlighting their functionalities and use cases. The document emphasizes the significance of these technologies in modern data architectures, enabling organizations to enhance operational efficiency and responsiveness to market changes. By leveraging CDC and stream processing, businesses can create robust data pipelines that facilitate timely decision-making and improve overall data synchronization across systems.