This article details Xunlei's migration from a fixed Hadoop cluster to Alibaba Cloud EMR Serverless Spark, outlining the platform's background, pain points, technical upgrade goals, serverless capabilities, archive data access methods, Kyuubi integration, and the resulting business and technical benefits.
This case study details how Qimao leveraged Alibaba Cloud EMR Serverless Spark with Fusion and Celeborn to overcome multi‑business‑line data‑processing challenges, achieving more than 50% faster batch jobs, significant cost reductions, and improved operational flexibility across its 600 million‑user ecosystem.
Liulishuo transformed its AI‑driven English learning platform by adopting Alibaba Cloud EMR Serverless Spark, addressing resource elasticity, cost, performance, and operational challenges, and achieving faster, more stable, and cost‑effective data processing across ingestion, ETL, and analytics workloads.
Alibaba Cloud’s Data Lake Analytics (DLA) tackles the growing complexity of data scenarios by offering cloud‑native, serverless solutions for data lake management, massive metadata construction, and high‑performance Spark and Presto engines, while addressing challenges such as high entry barriers, stability, and multi‑tenant isolation.
