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+# Module 2: Change Data Capture: Enabling Event-Driven Architectures
+
+
+## Introduction
+Change Data Capture, commonly known as CDC, is an efficient way to track changes in a database.
+
+The purpose of CDC is to capture insertions, updates, and deletions applied to a database and to make this change data available in a format easily consumable by downstream applications.
+Why do we need CDC pattern?
+
+    Real-time Data Syncing: CDC facilitates near-real-time data integration and syncing.
+    Efficient Data Pipelines: It allows incremental data loading, which is more efficient than bulk load operations.
+    Minimized System Impact: CDC minimizes the impact on the source system by reducing the need for performance-intensive queries.
+    Event-Driven Architectures: It enables event-driven architectures by streaming database events.