1. Data Warehousing in the age of Big Data (2)

2. Enterprise Data Warehouse Platform

3. Transactional systems (= OLTP systems)
Source database
The data life cycle is not more than a day or a week at a maximum
Operational data store (ODS)
optional architecture component and is used for operational reporting purposes
an aggregation of the data from the transactional systems
Staging area
To gather data for data quality and data preparation exercises for loading data into the data warehouse.

4. Cloud Computing & DW
Another option to create and deploy data warehouses, especially for small and midsize business groups
to leverage cloud computing for both data and visualization infrastructure including analytics and reporting
Benefits
Cloud computing services are provided over the Internet and can be accessed from anywhere in the world.
Cloud computing reduces business latencies when developing or testing applications.
Cloud computing can simplify and reduce process complexities.
Cloud computing abstracts the complexities of underlying infrastructure and creates simple plug and-play architecture.
Cloud computing can provide an adequately secure environment to host any data deemed critical by the organization.
Cloud computing provides you a complete platform and frees IT to keep the business running.

5. Clouding Computing & DW
on-demand services
서버운영
서비스개발 환경
응용SW제공

6. Integration of Big Data & DW: data layer
useful for data processing
DW상에서의 분석, 탐사 결과 그 자체도 포함
correlation analysis
cluster analysis
prediction analysis …
metadata
integration
analytics for exploration mining of unstructured data.

7. Integration of Big Data & DW: technology layer
Different types of technologies that will be used to architect the next-generation data warehouse for supporting data processing of structured, semi-structured, and unstructured or Big Data.

8. Integration of Big Data & DW: integration layer
analytics processing in the next-generation data warehouse platform
contextualization !

9. Integration of Big Data & DW: integration layer

10. Integration of Big Data & DW: integration layer

11. Integration of Big Data & DW: visualization
추가 필요
domain 간
연관성 파악
ex) Tableau