ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771
Scholarly Peer Reviewed and Fully Referred Open Access Multidisciplinary Monthly Research Journal
OPTIMIZING ETL SQL JOBS FOR INCREMENTAL DATA LOADS FROM STREAMING BIGQUERY ODS TABLESID: 1796 Abstract :This Document Outlines SQL-based Optimization Techniques For Incremental ETL Loads From Streaming BigQuery ODS Tables. It Addresses Performance Challenges Caused By Append-only Ingestion And Proposes Solutions Such As Partition-aware Filtering, Clustering, Metadata-driven Logic, Deduplication, And A Two-step Incremental Load Process. These Strategies Aim To Reduce Query Costs, Improve Runtime, And Enhance Resource Efficiency For Scalable Data Processing. |
Published:18-8-2025 Issue:Vol. 25 No. 8 (2025) Page Nos:534-536 Section:Articles License:This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. How to CiteTabrez Alam, OPTIMIZING ETL SQL JOBS FOR INCREMENTAL DATA LOADS FROM STREAMING BIGQUERY ODS TABLES , 2025, International Journal of Engineering Sciences and Advanced Technology, 25(8), Page 534-536, ISSN No: 2250-3676. |