♻️ refactor(cdc): add a new line between the ordered list

hugo-blog/content/docs/roadmap/data-integration/cdc/_index.md

@@ -12,8 +12,11 @@ CDC (Change Data Capture) is a data management technique used to identify and tr
 
 ### How CDC Works
 **1. Capture:** CDC monitors a source database for changes. Different methods can be used to capture changes, such as transaction log scanning, triggers, or timestamps.
+
 **2. Record:** Once changes are detected, CDC records them in a staging area or a log table. This record includes the type of change (insert, update, or delete) and the specific data fields that were affected.
+
 **3. Process:** The recorded changes are processed and transformed according to the needs of the target system or application. This might involve filtering, mapping, or other forms of transformation.
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 **4. Deliver:** Finally, the processed changes are delivered to the target system, which could be a data warehouse, another database, or a message queue for further processing.
 
 ### Methods of CDC Implementation
@@ -57,4 +60,4 @@ CDC is crucial in data management strategies that require timely and accurate da
 - [What is Change Data Capture?](https://medium.com/@andrew.macconnell/using-change-data-capture-9548ff7b41e3)
 - [Change Data Capture (CDC): What it is and How it Works](https://www.striim.com/blog/change-data-capture-cdc-what-it-is-and-how-it-works/)
 - [Why Change Data Capture?](https://www.confluent.io/learn/change-data-capture/)
-- [Change Data Capture](https://www.qlik.com/us/change-data-capture/cdc-change-data-capture)
+- [Change Data Capture](https://www.qlik.com/us/change-data-capture/cdc-change-data-capture)