Big Data 3 min read

Elegant Dimensional Modeling and Multi‑Dimensional Analysis Design Practice

In this presentation, Qiu Shengchang shares his 13‑year experience designing elegant data‑warehouse architectures, detailing a highly generic dimensional model, extreme partitioned tables, and a universal multi‑dimensional analysis framework that enables rapid, comprehensive reporting on massive datasets.

DataFunSummit
DataFunSummit
DataFunSummit
Elegant Dimensional Modeling and Multi‑Dimensional Analysis Design Practice

Speaker: Qiu Shengchang, OPPO Internet Services System Manager. With 13 years of experience in the data industry, he has worked at several large internet companies, focusing on data‑warehouse (DW) architecture and dimensional model design. At OPPO he leads data content construction and analysis for advertising and app distribution (software store, games).

Talk Title: Elegant Dimensional Modeling and Multi‑Dimensional Analysis Design Practice

The talk presents a highly abstract, universally applicable data‑warehouse model that achieves extreme dimension reduction and unified metric definitions. It also showcases a report containing hundreds of fields, billions of records, and second‑level query performance—demonstrating the power of dimensional modeling and multi‑dimensional analysis.

Outline:

1. The necessity of dimensional model design

2. An extreme partitioned‑table data‑warehouse architecture

3. Elegant dimensional model design

4. A universal multi‑dimensional analysis model and reporting solution

Audience Benefits:

1. How to design an elegant data‑warehouse architecture.

2. How to create a more generic and reasonable dimensional model.

3. How to build a multi‑dimensional analysis system that dramatically reduces data retrieval and reporting effort.

Registration: Scan the QR code to register for a free live broadcast.

analyticsBig Datadata warehouseMulti-dimensional Analysisdimensional modeling
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