Unlock Real-Time Analytics with Cloud Lakehouse: A Complete Guide
This article presents a curated list of sessions covering cloud Lakehouse technology for real-time, multidimensional data analysis, including case studies from SalesEasy, Changan Auto, Tencent, and JD, as well as discussions on data lake adoption, streaming lake Paimon, and the relevance of metadata‑driven data governance in the digital economy.
01 Catalog and Introduction
Real-time intelligent fully managed – Cloud Lakehouse redefines multidimensional data analysis
SalesEasy’s real-time analytics based on Lakehouse improves user data experience – practice sharing
Reshaping data architecture: How Cloud Lakehouse simplifies modular architecture for performance and cost balance
Changan Auto: Building an IoT big data platform on Cloud Lakehouse
Zhijian Cloud partners with Cloud Lakehouse to create an integrated big data platform, unlocking data value
Data lake applications at Kuaishou
Tencent’s real-time lakehouse intelligent optimization practice
Streaming data lake Paimon 0.7 development progress
JD Retail data lake application and practice
In the digital economy era, is metadata‑driven data governance still important?
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DataFunTalk
Dedicated to sharing and discussing big data and AI technology applications, aiming to empower a million data scientists. Regularly hosts live tech talks and curates articles on big data, recommendation/search algorithms, advertising algorithms, NLP, intelligent risk control, autonomous driving, and machine learning/deep learning.
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