Data Warehousing in the age of Big Data (2) 2017. 5

Enterprise Data Warehouse Platform

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.

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.

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

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.

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.

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

Integration of Big Data & DW: integration layer

Integration of Big Data & DW: integration layer

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