This article explores how artificial intelligence enhances data warehouses by automating model design, generating SQL from natural language, optimizing resource scheduling, and enabling business users to converse directly with data, while also reviewing leading tools and future cloud‑native trends.
This article presents Kuaishou's big‑data analytics system, describing its current capabilities, the pain points of traditional ETL workflows, the NoETL concept, the implementation of a metric‑center platform, and practical features such as custom fields, automated modeling and acceleration, followed by future plans and a Q&A session.
This article presents Kuaishou's metric middle platform, detailing its three‑year evolution, unified semantic layer design, metric standardization workflow, core technologies such as Headless BI, automated modeling, and a unified metric service, and outlines future directions and a Q&A session.
This article details Kuashou's metric middle platform, covering its role as a semantic layer, the unified architecture of OneMetric and OneService, metric standardization processes, automated modeling techniques, the Headless BI concept, and future directions for intelligent modeling and acceleration.
Magic Mirror is a big‑data‑based visual analytics platform that lowers the barrier of machine‑learning for non‑experts while accelerating expert workflows through visual UI, modular algorithms, distributed feature generation, and automated binary‑classification modeling.
