Unlock Real-Time Multidimensional Insights with Cloud Lakehouse Technology
This guide presents a series of expert case studies and insights on how Cloud Lakehouse solutions enable real‑time, fully managed multidimensional data analysis, improve user data experiences, balance performance and cost, and power large‑scale IoT and big‑data platforms across industries.
01 Table of Contents and Introduction
Real-time Intelligent Fully Managed – Cloud Lakehouse Redefines Multidimensional Data Analysis
Salesforce’s Real-Time Analysis on Lakehouse Enhances User Data Experience – A Practice Share
Reshaping Data Architecture: How Cloud Lakehouse Simplifies Modular Architecture for Performance‑Cost Balance
Changan Automobile: Building an IoT Big Data Platform Based on Cloud Lakehouse
Smart Cloud Partners with Cloud Lakehouse to Build an Integrated Big Data Platform, Unlocking Data Value
Data Lake Applications at Kuaishou: Practice Cases
Tencent’s Real‑Time Lakehouse Intelligent Optimization Practices
Streaming Data Lake Paimon 0.7 Development Progress
JD Retail Data Lake: Applications and Practices
In the Digital Economy Era, Is Metadata‑Driven Data Governance Still Important?
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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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