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Data Collection

106 articles · Page 2 of 2
Qunar Tech Salon
Qunar Tech Salon
Aug 18, 2017 · Operations

Hardware Automation Operations System at Qunar: Design, Implementation, and Lessons Learned

This article details Qunar's hardware automation operations platform, covering the hardware scope, pain points of manual processes, a five‑stage lifecycle, automated testing, data collection, fault handling, and the underlying Mesos‑Marathon‑Docker infrastructure that together improve efficiency, reliability, and cost control.

Data CollectionMonitoringfault handling
0 likes · 21 min read
Hardware Automation Operations System at Qunar: Design, Implementation, and Lessons Learned
Ctrip Technology
Ctrip Technology
May 18, 2017 · Backend Development

Design and Implementation of Ctrip's Real-Time User Data Collection System

This article details the design, technology selection, architecture, encryption, compression, and performance evaluation of Ctrip's real-time user data collection system, which leverages Java, Netty, Kafka, and Avro to achieve high throughput, low latency, and robust fault tolerance for mobile and web applications.

Data CollectionNettyPerformance Testing
0 likes · 17 min read
Design and Implementation of Ctrip's Real-Time User Data Collection System
Liulishuo Tech Team
Liulishuo Tech Team
Aug 6, 2016 · Product Management

Structuring and Managing Data Collection Requirements with JSON and Git

By defining data collection (event tracking) requirements in a structured JSON format and storing them in Git with a web interface that abstracts version control, teams can standardize identifiers, validate data formats automatically, track changes via commit logs, and streamline collaboration between product managers, developers, and testers.

Data CollectionGitdata validation
0 likes · 7 min read
Structuring and Managing Data Collection Requirements with JSON and Git
Baidu Intelligent Testing
Baidu Intelligent Testing
Apr 12, 2016 · Product Management

User Feedback Analysis: Methods, Process, and Core Metrics

This article explains what user feedback is, why it should be analyzed, and provides a step‑by‑step methodology—including channel setup, data collection, coding, categorization, and statistical analysis—along with key performance indicators for monitoring feedback handling in product management.

Data Collectioncategorizationfeedback analysis
0 likes · 8 min read
User Feedback Analysis: Methods, Process, and Core Metrics