How Lakehouse Is Transforming Real‑Time Multi‑Dimensional Analytics
This article compiles a series of expert case studies and insights on real‑time intelligent fully‑managed Lakehouse technology, illustrating how companies such as SalesEasy, Chang’an Auto, Kuaishou, Tencent, and JD.com leverage lakehouse architectures to achieve advanced multi‑dimensional analytics, cost‑performance balance, and effective data governance in the digital economy.
01 Catalog and Introduction
Real‑time intelligent fully‑managed Cloud Lakehouse redefines multi‑dimensional data analysis
SalesEasy’s real‑time analytics on Lakehouse improves user data experience – a practice share
Reshaping data architecture: how Cloud Lakehouse simplifies modular architecture for performance‑cost balance
Changan Auto: building an IoT big‑data platform based on Cloud Lakehouse
Smart Cloud partners with Cloud Lakehouse to create an integrated big‑data platform, unlocking data value
Data lake applications at Kuaishou
Tencent’s real‑time lake‑warehouse 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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