Data Warehouse Architecture
(สถาปัตยกรรมคลังข้อมูล)
Definition
Data Warehouse Architecture (สถาปัตยกรรมคลังข้อมูล) Hard Skill
Data Warehouse Architecture refers to the design and structure of systems used to collect, store, and manage large volumes of data from multiple sources to support business intelligence and decision-making.
Expertise Level
Level 1
Basic
1. Understands basic concepts of data warehousing and its purpose.
2. Familiar with common components such as ETL, data storage, and metadata.
3. Able to explain simple data flow within a data warehouse system.
Level 2
Intermediate
1. Can design and model dimensional schemas like star and snowflake schemas.
2. Understands data integration and transformation processes (ETL/ELT).
3. Able to optimize data storage and retrieval for performance.
Level 3
Advanced
1. Experts in architecting scalable and high-availability data warehouse solutions.
2. Can integrate diverse data sources including real-time and unstructured data.
3. Able to apply advanced techniques for data governance, security, and automation.
