# Setup Kinesis Data Analytics Studio

1\. Amazon Kinesis Analytics 서비스로 이동하여 Studio 탭을 선택합니다.

![](https://static.us-east-1.prod.workshops.aws/public/ec99f585-8ba1-4d5a-aaa9-ec4d126a8699/static/lab-5-kda-paperboat/images/image2.png)

2\. **Create with custom settings**를 선택하고 Studio notebook 이름을 입력합니다.

![](https://static.us-east-1.prod.workshops.aws/public/ec99f585-8ba1-4d5a-aaa9-ec4d126a8699/static/lab-5-kda-paperboat/images/image3.png)

3\. **IAM roles that Kinesis Data Analytics can assume**를 선택하고 IAM 역할 목록에서 *kinesis-analytics-KDA* 역할을 선택합니다. AWS Glue database 목록에서 *kinesislab* 데이터베이스를 선택합니다.

![](/files/KziKZnOcHDvKjxUyfcMO)

4\. **Custom connectors** 탭이 보일때까지 아래로 스크롤합니다. **Add custom connector**를 클릭합니다.

![](https://static.us-east-1.prod.workshops.aws/public/ec99f585-8ba1-4d5a-aaa9-ec4d126a8699/static/lab-5-kda-paperboat/images/image5.png)

5\. **Location of custom connector in S3**에 `s3://youngwjung`, **Path to S3 object**에 `labs/kinesis/flink-sql-connector-elasticsearch7_2.12-1.13.2.jar`를 입력하고 **Save Change**를 선택합니다.

![](/files/oGuFYdzSv6FjJBaluHrk)

6\. **Next**를 선택합니다.

![](/files/ISefkh1F7f4UPCJFY8lC)

7\. 페이지 맨 아래로 스크롤하고 **Create studio notebook**를 선택합니다.

![](https://static.us-east-1.prod.workshops.aws/public/ec99f585-8ba1-4d5a-aaa9-ec4d126a8699/static/lab-5-kda-paperboat/images/image8.png)


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