# Data Architect
> ref : [Data Architect_數據架構師｜OpenNet_開網｜台北市－104 人力銀行](https://drive.google.com/file/d/1aLzdv1H9ISK331XRcGUUC7ydQ9xOeBAD/view?usp=sharing)

## Key Purpose :
- Positive
1. Build the skill of next stage of career.
2. Keep motivate in career.
3. Learn more english.
- Passtive
1. Fill the gap from the position.
2. Find point worth to learn in the compangy.

## Requirement
- Large-Scale RDBMS and Data Model.
- Redshift.
- MySQL and MongoDB.
- AWS.
- AWS RDS, EC2.
- AWS CloudWatch, Secrets Manager, etc.
- Open Source.
- Airflow.
- Metabase.
- CentOS.

## Study Point
- Large-Scale RDBMS, like MySQL or Redshift.
- MongoDB.
- AWS Cost Management.
- AWS EC2 Linux like CentOS.
- Airflow.

## Study List
- Large-Scale RDBMS.
- how to handling large-scale data in MySQL.
- how to handling large-scale data in Redshift.
- how to handling large-scale data in MongoDB.
- what is MongoDB?
- why using MongoDB instead of others?
- why MongoDB so rich?
- AWS
- how to manage cost in aws?
- what is AWS CloudWatch and how to use it?
- what is AWS Secret Manager and how to use it?
- Open Source
- how to use Metabase?
- the best practice of Metabase.
- the tips and tricks of Metabase.
- why using Metabase reviewed by reddit.
- what is CentOS?
- why using CentOS instead of normal linux?
- what is the benefit of using CentOS.
- what is the best practice of using Airflow?
- the tips and tricks of Airflow, <br/> like the top point to list down.