|
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 |
10.5120/13984-1990
|
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.