REAL-TIME CHANGE DATA CAPTURE USING STAGING TABLES AND DELTA VIEW GENERATION FOR INCREMENTAL LOADING OF LARGE DIMENSIONS IN A DATA WAREHOUSE
Main Article Content
Abstract
In the big data era, data become more important for Business Intelligence and Enterprise Data Analytics system operation. The load cycle of traditional data warehouse is fixed and longer, which can’t timely response the rapid and real time data change. Real-time data warehouse technology as an extension of traditional data warehouse can capture the rapid data change and process the real-time data analysis to meet the requirement of Business Intelligence and Enterprise Data Analytics system. The real-time data access without processing delay is a challenging task to the real-time data warehouse. In this paper we discusses current CDC technologies and presents the theory about why they are unable to deliver changes in real-time. This paper also explain the approaches of dimension delta view generation of incremental loading of real-time data and staging table ETL framework to process the historical data and real-time data separately. Incremental load is the preferred approach in efficient ETL processes.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0 DEED).
You are free to:
- Share — copy and redistribute the material in any medium or format
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes .
- NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
Rights of Authors
Authors retain the following rights:
1. Copyright and other proprietary rights relating to the article, such as patent rights,
2. the right to use the substance of the article in future works, including lectures and books,
3. the right to reproduce the article for own purposes, provided the copies are not offered for sale,
4. the right to self-archive the article.