Failover Strategies in ETL Processes for Data Warehousing
Author(s): Nishanth Reddy Mandala
Publication #: 2411029
Date of Publication: 04.07.2016
Country: United States
Pages: 1-14
Published In: Volume 2 Issue 4 July-2016
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
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