The Alibaba Cloud Big Data AI Platform builds on Alibaba’s leading cloud infrastructure, big‑data and AI engineering capabilities, scenario algorithms, and extensive industry experience to offer enterprises and developers a one‑stop, cloud‑native big‑data and AI capability suite. It boosts AI development efficiency, enables large‑scale AI deployment across industries, and drives business value.
This article details how a leading Southeast Asian tech group migrated from BigQuery to MaxCompute, designing a multi‑tenant big data platform with separate control and data planes, addressing cross‑account access, governance, and cost challenges on Alibaba Cloud.
This case study details how Hypergryph leveraged Alibaba Cloud EMR Serverless StarRocks, Flink, and Kafka to replace a ClickHouse data warehouse with a high‑performance, elastic, and easy‑to‑operate real‑time analytics platform that dramatically improved query speed, stability, operational efficiency, and cost for their gaming business.
This article explains how Alibaba Cloud OpenSearch LLM version evolved from RAG 1.0 to RAG 2.0, introducing the DeepSearch multi‑agent architecture that combines offline data processing, online query handling, planning, clarification, search, and summarization agents to deliver more accurate and complex AI‑driven answers.
MaxCompute’s new Cluster Optimization Recommendation analyzes 31 days of shuffle data to automatically suggest optimal hash clustering keys, dramatically cutting shuffle traffic and CU consumption for large jobs, while providing one‑click ALTER TABLE scripts and detailed benefit reports to boost big‑data processing efficiency.
This article details the challenges of migrating 100,000+ SQL statements from BigQuery to MaxCompute for a leading Southeast Asian tech group, explains the new MaxCompute SQL syntax, auto‑partition and ingestion‑time tables, enhanced built‑in functions, and the BigQuery compatibility mode that ensures seamless query behavior.
This article chronicles ODPS's 15‑year journey from its exploratory beginnings to a modern, AI‑enabled big data platform, detailing its four development phases, architectural layers, SQL engine upgrades, real‑time processing, lakehouse integration, and the new Data+AI capabilities offered by MaxCompute and DataWorks.
This article introduces the open‑source ssar system‑performance monitoring tool, explains its architecture, compares it with traditional sar utilities, demonstrates fast‑iteration development, showcases load5s metrics and detailed command usage, and provides configuration guidance for precise Linux performance diagnostics.
This article explores the evolution from keyword‑based to multimodal e‑commerce search, detailing a universal solution that combines text and image processing through embedding and vector retrieval, and demonstrates how Alibaba Cloud's AI Search Open Platform and Elasticsearch Serverless enable fast, low‑cost, and scalable multimodal product search deployments.
This article examines how the Manus sandbox and CodeAct mechanisms inspire a GitOps‑based approach to building LLM agents, detailing the design of planner and executor components, workflow steps, advantages such as RAG and observability, and the potential for low‑cost, scalable intelligent agent development.
This article summarizes a Cloud Summit talk where Alibaba Cloud’s AI expert Zhang Yingying explains how large language models can enhance big‑data intelligent operations, covering opportunities, challenges, RAG‑based Q&A, multi‑agent diagnostics, and the engineering architecture needed for reliable, scalable deployment.
