Real-time data synchronization is no longer a luxury—it's a necessity. Keeping data up-to-date across systems traditionally requires complex ETL processes and significant resources. The emergence of change data capture (CDC) and stream processing transforms this landscape, making real-time data integration more achievable and enabling businesses to respond swiftly to time-sensitive events.

However, even with these powerful technologies, operational challenges persist. This guide explores the synergy between CDC and stream processing, and how tools like Apache Flink® and Decodable can simplify the implementation of real-time data pipelines.

Download this guide to:

• Unlock Real-time Insights: Understand how CDC and stream processing work together to provide up-to-the-second data for faster, more accurate decision-making.
• Modernize Your Data Architecture: Learn how to leverage CDC and stream processing to create a more efficient, scalable, and responsive data ecosystem.
• Simplify Complex Data Pipelines: Discover how tools like Decodable can streamline the implementation of CDC and stream processing, reducing complexity and operational overhead.