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This document presents a novel Memory Optimal Index-based Join (MOIJ) algorithm aimed at optimizing memory usage for joining streaming data with disk-based master data in near-real-time data warehousing. The algorithm employs a cache inequality approach to minimize data latency and improve performance, particularly in scenarios involving high volume and bursty data streams. The authors provide empirical and analytical comparisons of MOIJ against existing algorithms, demonstrating its efficiency in reducing

Author

brema Arihta Siregar

Language

EN