AliCloud ODPS Completes Four Core Upgrades to Strengthen AI-Era Data Processing Capabilities
Phoenix Net Tech News, July 31st. AliCloud officially announced that it has completed a full-scale upgrade of its self-developed big data platform ODPS architecture, driving the deep integration of big data and AI.
According to the introduction, this upgrade focuses on high-performance data processing. ODPS relies on cloud-native architecture and achieves elastic scheduling capabilities for tens of thousands of computing clusters, with peak data processing capacity reaching 50 billion times per second. Simultaneously, a lake-storage-one-body solution is launched, supporting unified storage for all modes of data.
In addition, ODPS fills the gap between real-time and offline through incremental computing engines (DLMV) and near-real-time queries (MaxQA). Meanwhile, an intelligent SQL programming assistant is released, improving data development and analysis efficiency and achieving "AI-driven business value" realization.