diff --git a/demos/betting-behavior-analysis.mdx b/demos/betting-behavior-analysis.mdx
index 2e445220..56a6334c 100644
--- a/demos/betting-behavior-analysis.mdx
+++ b/demos/betting-behavior-analysis.mdx
@@ -70,7 +70,7 @@ Once RisingWave is installed and deployed, run the three SQL queries below to se
 
 To keep this demo simple, a Python script is used to generate and insert data into the tables created above. 
 
-Navigate to the [market_surveillance](https://github.com/risingwavelabs/awesome-stream-processing) folder in the [awesome-stream-processing](https://github.com/risingwavelabs/awesome-stream-processing) and run the `data_generator.py` file. This Python script utilizes the `psycopg2` library to establish a connection with RisingWave so you can generate and insert synthetic data into the tables `user_profiles`, `betting_history`, and `positions`. 
+Navigate to the [user_betting_behavior](https://github.com/risingwavelabs/awesome-stream-processing) folder in the [awesome-stream-processing](https://github.com/risingwavelabs/awesome-stream-processing) and run the `data_generator.py` file. This Python script utilizes the `psycopg2` library to establish a connection with RisingWave so you can generate and insert synthetic data into the tables `user_profiles`, `betting_history`, and `positions`. 
 
 If you are not running RisingWave locally or using default credentials, update the connection parameters accordingly: