Big Data 2 min read

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.

DataFunTalk
DataFunTalk
DataFunTalk
How Lakehouse Is Transforming Real‑Time Multi‑Dimensional Analytics

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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Data GovernanceCase StudiesData ArchitectureLakehouse
DataFunTalk
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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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