Abstract
The present disclosure relates to an adaptive multi-dimensional real-time analytics engine (AMDRAE) for processing high-velocity data streams. The engine includes a temporal storage engine that ensures ACID properties while supporting real-time data ingestion. An adaptive partitioning system dynamically reorganizes data based on user query patterns, enhancing availability during repartitioning. Furthermore, a multi-dimensional indexing structure maintains indexed data across various attributes, providing rapid query responses. An integrated analytics module executes complex event processing and real-time aggregations without relying on external systems, delivering sub-millisecond response times for queries. The system supports high-frequency data ingestion with versioned data structures, ensuring efficient data handling for temporal queries and real-time analytics.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
KUMAR THIRUKONDA JEYAKUMAR, APARAJIT LAL and KANNAN, KARTHIKEYAN, "METHOD AND SYSTEM FOR UNIFIED REAL‑TIME ANALYTICS ENGINE FOR HIGH‑VELOCITY DATA PROCESSING AND QUERY OPTIMIZATION", Technical Disclosure Commons, (February 26, 2026)
https://www.tdcommons.org/dpubs_series/9405