In this article, we’ll explore the “L” – Load – phase of Change Data Capture (CDC), where we make captured changes available to downstream consumers in real-time. We’ll discuss two patterns for extracting and sharing change data, helping you understand which one suits your organization’s needs best. Extracting and Sharing Change Data: Empowering Downstream Consumers Once...
Introduction: 📜 In our previous article, we delved into the transformative world of Change Data Capture (CDC) and how it empowers organizations with real-time data insights. Now, let’s take a closer look at the backbone of CDC in data pipelines and its two crucial components: capturing changes from the source system and making them available...
📜 In our previous article, we introduced Change Data Capture (CDC) and explored some of its components. Now, let’s dive deeper into the significance of CDC and why it matters in today’s data-driven world. What is CDC and Why Does It Matter? 🔄 CDC, or Change Data Capture, is a data integration pattern that captures and...
Introduction: In today’s fast-paced digital landscape, data is the lifeblood of organizations. Data-driven decision-making has become a key competitive advantage, and businesses are constantly seeking ways to ingest, process, and analyze data in near real-time. Change Data Capture (CDC) is a powerful pattern that addresses this need by capturing and transmitting every change made to...
Building a robust and efficient data pipeline requires careful consideration of requirements, components, and tool selection. In this article, we have explored the key steps to guide you in choosing the right tools for your data pipeline. Now, let’s summarize the insights gained from this discussion and provide a clear overview of the entire topic,...