Data Warehouse
정보의 중앙 저장소,분석방법을 포함한 정보 관리 시스템
Data Lake
structured,unstructured 데이터를 저장하기 위한 중앙 저장소. 데이터를 가공없이 있는 그대로 저장하여 대시보드와 시각화에서부터 빅데이터 처리, 실시간 분석, 머신러닝까지 수행할수 있다.
Data Warehouse vs Data Lake
| Characteristics | Data Warehouse | Data Lake |
|---|---|---|
| Data | Relational from transactional systems, operational databases, and line of business applications | Non-relational and relational from IoT devices, web sites, mobile apps, social media, and corporate applications |
| Schema | Designed prior to the DW implementation (schema-on-write) | Written at the time of analysis (schema-on-read) |
| Price/Performance | Fastest query results using higher cost storage | Query results getting faster using low-cost storage |
| Data Quality | Highly curated data that serves as the central version of the truth | Any data that may or may not be curated (ie. raw data) |
| Users | Business analysts | Data scientists, Data developers, and Business analysts (using curated data) |
| Analytics | Batch reporting, BI and visualizations | Machine Learning, Predictive analytics, data discovery and profiling |