Failover Strategies in ETL Processes for Data Warehousing

Authors

Nishanth Reddy Mandala

Abstract

Abstract—ETL (Extract, Transform, Load) processes are critical components of data warehousing and data integration systems, handling the movement and transformation of data from multiple sources to centralized data repositories. Failover strategies are essential for ensuring the reliability and resilience of ETL systems, as failures in ETL workflows can lead to data loss, system downtime, and data inconsistencies. This paper examines various failover strategies employed in ETL systems, including checkpointing, replication, parallel processing, and automated recovery mechanisms. We analyze the effectiveness of these strategies in maintaining ETL continuity and discuss their impact on system performance and reliability.

Keywords

ETL, Failover Strategies, Data Warehousing, Data Resilience, Data Integration, Data Recovery

Failover Strategies in ETL Processes for Data Warehousing. Nishanth Reddy Mandala. 2016. IJIRCT, Volume 2, Issue 4. Pages 1-14. https://www.ijirct.org/viewPaper.php?paperId=2411029