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Data Modeling

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macrozheng
macrozheng
Apr 3, 2025 · Databases

MySQL vs Elasticsearch: Which Data Store Wins for Your Use Case?

This article compares MySQL and Elasticsearch across data models, query languages, indexing, distributed architecture, performance, scalability, and typical use cases, helping developers choose the right system or combine them effectively for various application scenarios.

Data ModelingDatabase ComparisonElasticsearch
0 likes · 12 min read
MySQL vs Elasticsearch: Which Data Store Wins for Your Use Case?
Xiaokun's Architecture Exploration Notes
Xiaokun's Architecture Exploration Notes
Mar 29, 2025 · Databases

Exploring Data Models: From Hierarchical to Graph and Schema-on-Read/Write

This article examines the evolution of data models—from conceptual, logical, and physical layers to hierarchical, network, relational, document, and graph structures—explaining their characteristics, implementation examples, and the contrasting schema‑on‑read versus schema‑on‑write approaches for modern data storage systems.

Data Modelingdatabasesgraph database
0 likes · 10 min read
Exploring Data Models: From Hierarchical to Graph and Schema-on-Read/Write
Didi Tech
Didi Tech
Mar 20, 2025 · Big Data

Key Questions and Value Assessment in Data Warehouse Modeling and Development

The article explores nine fundamental questions about data‑warehouse modeling—why and when to model, how to evaluate and compare models, the warehouse’s unique role versus business systems, modern architectural shifts, a quantitative value‑proof scoring framework, industry‑standard versus custom approaches, demonstrating business impact, and career insights—concluding that true value lies in enabling informed decisions rather than technology hype.

AIBig DataData Modeling
0 likes · 12 min read
Key Questions and Value Assessment in Data Warehouse Modeling and Development
DataFunTalk
DataFunTalk
Jan 27, 2025 · Artificial Intelligence

Improving AI Agent Planning and Reasoning: Challenges and Practical Solutions

The article examines current limitations of AI agents in planning and complex reasoning, critiques existing methods like COT/TOT and ReAct, and proposes practical strategies—including combined COT‑Reflection approaches, structured memory algorithms, and white‑box interaction designs—to enhance agent performance within the DataFun knowledge map framework.

AI AgentCoTData Modeling
0 likes · 3 min read
Improving AI Agent Planning and Reasoning: Challenges and Practical Solutions
DataFunTalk
DataFunTalk
Jan 9, 2025 · Databases

Innovative IoT Point Management with DolphinDB IOTDB Engine

This article explains the challenges of managing heterogeneous IoT sensor data, compares wide‑table and narrow‑table modeling approaches, and introduces DolphinDB's IOTDB engine—featuring a unified IOTANY column, a TSDB engine, a latest‑value cache, and a static info table—to efficiently store and query diverse point data in a single table.

Data ModelingDolphinDBIOTDB engine
0 likes · 8 min read
Innovative IoT Point Management with DolphinDB IOTDB Engine
DataFunSummit
DataFunSummit
Nov 29, 2024 · Big Data

Standardizing Metric Management in Didi’s Data Platform

The article outlines Didi’s end‑to‑end metric lifecycle—from background, requirements and current pain points to a multi‑stage solution that introduces a unified metric dictionary, management tool, logical modeling, and consumption layer—to achieve accurate, timely, consistent, and efficiently managed indicators across the data warehouse ecosystem.

Big DataData ModelingData Warehouse
0 likes · 20 min read
Standardizing Metric Management in Didi’s Data Platform
Test Development Learning Exchange
Test Development Learning Exchange
Nov 22, 2024 · Artificial Intelligence

Introduction to Data Modeling with Scikit-Learn

This article provides a comprehensive guide to using Scikit-Learn for data modeling, covering linear regression and decision tree algorithms, including data preparation, model training, evaluation metrics, and visualization techniques for predictive analysis.

Data ModelingPythondata science
0 likes · 4 min read
Introduction to Data Modeling with Scikit-Learn
High Availability Architecture
High Availability Architecture
Nov 22, 2024 · Backend Development

Designing a High‑Availability, Scalable Feed Stream System

This article introduces feed streams, explains their evolution from RSS to modern social feeds, classifies them by aggregation logic and display, discusses challenges such as real‑time performance and massive data, and presents a backend architecture with data models, pagination, write/read diffusion, and core publishing/reading workflows.

Data ModelingRedisbackend architecture
0 likes · 21 min read
Designing a High‑Availability, Scalable Feed Stream System
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Nov 11, 2024 · Databases

Fundamentals of Relational Databases: Tables, Data Modeling, SQL, and Normalization

This article introduces core relational database concepts, covering tables, data models and ER diagrams, the fundamentals of SQL, and the first three normal forms, providing clear explanations and examples to build a solid foundation for further database study.

Data ModelingER diagramRelational Database
0 likes · 7 min read
Fundamentals of Relational Databases: Tables, Data Modeling, SQL, and Normalization
DataFunSummit
DataFunSummit
Oct 26, 2024 · Big Data

Kuaishou Metric Middle Platform: Design, Architecture, and Practices

This article presents Kuaishou's metric middle platform, detailing its background, design principles, architecture, metric management, data modeling, unified analysis language OAX, federated query engine OCTO, acceleration strategies, and future directions, illustrating how it improves data quality, development efficiency, and analytical capabilities at scale.

Big DataData ModelingData Platform
0 likes · 64 min read
Kuaishou Metric Middle Platform: Design, Architecture, and Practices
DataFunTalk
DataFunTalk
Sep 28, 2024 · Big Data

Metric Management and Standardization in Didi's Data Platform

This article outlines Didi's approach to metric management, covering background, data product overview, and challenges in traditional and agile BI models, and presents a comprehensive solution for metric standardization, logical modeling, quality assurance, unified consumption, and future roadmap to improve data warehouse efficiency and consistency.

BIData GovernanceData Modeling
0 likes · 21 min read
Metric Management and Standardization in Didi's Data Platform
DataFunSummit
DataFunSummit
Aug 9, 2024 · Big Data

Design and Practice of Ant Group's Metric System

This article presents a comprehensive overview of Ant Group's metric system, covering its definition, three-layer architecture, common challenges, concept consensus methods, semantic layer options, mechanism design, productization capabilities, platform improvements, business outcomes, future directions, and a detailed Q&A session.

Big DataData GovernanceData Modeling
0 likes · 28 min read
Design and Practice of Ant Group's Metric System
DataFunTalk
DataFunTalk
Jul 27, 2024 · Big Data

Design and Implementation of Kuaishou's Metric Middle Platform

This article presents Kuaishou's metric middle platform, detailing its background, design principles, metric management and service architecture, including headless BI concepts, unified analysis language OAX, query engine OCTO, data modeling layers, acceleration strategies, and future directions toward intelligence and high performance.

Big DataData EngineeringData Modeling
0 likes · 19 min read
Design and Implementation of Kuaishou's Metric Middle Platform
DataFunSummit
DataFunSummit
Jul 19, 2024 · Artificial Intelligence

Risk Control in the Bulk Commodity Industry: Data‑Driven Solutions and Credit‑Risk Modeling by Ant Group

This article presents Ant Group's data‑driven approach to digital transformation and risk control in the bulk commodity sector, covering background challenges, data‑application pain points, core capabilities, credit‑risk models, data‑asset construction, indicator frameworks, and secure data integration for B2B scenarios.

Data ModelingData Securitycommodity industry
0 likes · 14 min read
Risk Control in the Bulk Commodity Industry: Data‑Driven Solutions and Credit‑Risk Modeling by Ant Group
Baidu Geek Talk
Baidu Geek Talk
Jul 8, 2024 · Big Data

Evolution of Feed Data Warehouse Wide-Table Modeling at Baidu App

Baidu’s Mobile Ecology team transformed its Feed data warehouse through three progressive stages—hour‑level core tables, a real‑time wide table, and a unified day‑level multi‑version table—consolidating traffic, content, and user data into a single partitioned wide‑table architecture that resolves granularity inconsistencies, cuts processing cost, and delivers real‑time to daily latency for diverse analytics.

Big DataData ModelingData Warehouse
0 likes · 10 min read
Evolution of Feed Data Warehouse Wide-Table Modeling at Baidu App
DataFunTalk
DataFunTalk
Jun 27, 2024 · Big Data

Data Warehouse Construction and Data Governance Practices at Wing Payment

This presentation by senior data warehouse engineer Huang Luo details Wing Payment’s end‑to‑end data warehouse build, covering background challenges, governance framework, platform architecture, layered modeling, naming standards, asset management, monitoring, and future plans, illustrating how systematic data governance drives cost reduction, efficiency, and security.

Big DataData GovernanceData Modeling
0 likes · 14 min read
Data Warehouse Construction and Data Governance Practices at Wing Payment
DataFunSummit
DataFunSummit
May 29, 2024 · Big Data

Best Practices for Building an International Ride‑Hailing Data Metric System at Didi

This article presents Didi's comprehensive approach to designing, implementing, and governing a global data metric system for international ride‑hailing, covering business scenarios, metric‑related challenges, organizational structures, process flows, model architecture, time‑zone handling, tooling, and multi‑level governance.

Data GovernanceData ModelingInternationalization
0 likes · 15 min read
Best Practices for Building an International Ride‑Hailing Data Metric System at Didi
DataFunTalk
DataFunTalk
May 28, 2024 · Big Data

Building and Managing a Metric System in Data Warehouse: Practices from Dongchedi

This article details how the Dongchedi business team designs, implements, and monitors a comprehensive metric system within its data warehouse, covering metric standards, model construction, metadata management, quality monitoring, application scenarios, and future directions using the DataLeap platform.

Big DataData GovernanceData Modeling
0 likes · 18 min read
Building and Managing a Metric System in Data Warehouse: Practices from Dongchedi
Top Architect
Top Architect
May 25, 2024 · Mobile Development

Cross‑Platform Architecture for WeChat Pay: Reducing Code, Improving Quality and Productivity

This article describes how a C++‑based cross‑platform framework and a unified routing mechanism were built for WeChat Pay to eliminate platform‑specific bugs, streamline data flow, improve crash stability, cut code size by nearly 45%, and boost development productivity across iOS and Android.

C++Cross‑PlatformData Modeling
0 likes · 16 min read
Cross‑Platform Architecture for WeChat Pay: Reducing Code, Improving Quality and Productivity