International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
Volume 81 - Issue 2 |
Published: November 2013 |
Authors: Revathy. S, Saravana Balaji. B, N. K. Karthikeyan |
![]() |
Revathy. S, Saravana Balaji. B, N. K. Karthikeyan . From Data Warehouses to Streaming Warehouses: A Survey on the Challenges for Real-Time Data Warehousing and Available Solutions. International Journal of Computer Applications. 81, 2 (November 2013), 15-18. DOI=10.5120/13984-1990
@article{ 10.5120/13984-1990, author = { Revathy. S,Saravana Balaji. B,N. K. Karthikeyan }, title = { From Data Warehouses to Streaming Warehouses: A Survey on the Challenges for Real-Time Data Warehousing and Available Solutions }, journal = { International Journal of Computer Applications }, year = { 2013 }, volume = { 81 }, number = { 2 }, pages = { 15-18 }, doi = { 10.5120/13984-1990 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2013 %A Revathy. S %A Saravana Balaji. B %A N. K. Karthikeyan %T From Data Warehouses to Streaming Warehouses: A Survey on the Challenges for Real-Time Data Warehousing and Available Solutions%T %J International Journal of Computer Applications %V 81 %N 2 %P 15-18 %R 10.5120/13984-1990 %I Foundation of Computer Science (FCS), NY, USA
Data Warehouses usually work on history data. In most cases, the Data Warehouse is loaded with data from operational or transactional systems on a weekly or nightly basis. As today's decisions in the business world are becoming real-time, it is only natural that Data Warehouse, Business Intelligence, Decision Support and OLAP systems must quickly begin incorporating real-time data. When shifting from a traditional offline and time-consuming data warehousing system to a real-time system, two important considerations are speeding up the ETL and the OLAP process. This survey looks into the various challenges involved in building a real-time Data Warehouse and some of the solutions available to overcome them.