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data classification

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Aikesheng Open Source Community
Aikesheng Open Source Community
Feb 27, 2025 · Information Security

Improving Data Export Workflows and Security: From 1.0 to 2.0 with Classification and Dynamic Approval

This article examines the security challenges of data export work orders in MySQL environments, outlines the shortcomings of the original 1.0 workflow, and presents a comprehensive 2.0 redesign that introduces dynamic approvals, data classification, execution‑plan analysis, and code‑level solutions to mitigate data leakage risks.

Approval WorkflowMySQLSQL parsing
0 likes · 15 min read
Improving Data Export Workflows and Security: From 1.0 to 2.0 with Classification and Dynamic Approval
政采云技术
政采云技术
Jan 23, 2024 · Big Data

Design and Implementation of a Big Data Permission Management System

This article outlines the background, importance, scenarios, challenges, objectives, and architectural design—including RBAC and ABAC models, metadata integration, data classification, and verification mechanisms—of a comprehensive big data permission management system for secure and fine‑grained data access.

ABACAccess ControlData Security
0 likes · 14 min read
Design and Implementation of a Big Data Permission Management System
政采云技术
政采云技术
Nov 7, 2022 · Information Security

Zhejiang Government Procurement Cloud's Data Security and Compliance Framework

Zhejiang Government Procurement Cloud's CTO Liu Changyu presented at the Cloud Summit, detailing the company's comprehensive data security and compliance framework including 'three-in-one' certifications, 'four-in-one' data security construction, and intelligent data classification strategies.

Data Securitycloud computingcompliance framework
0 likes · 5 min read
Zhejiang Government Procurement Cloud's Data Security and Compliance Framework
Tencent Cloud Developer
Tencent Cloud Developer
Sep 20, 2022 · Information Security

Data Classification and Grading Architecture for Enterprise Data Security

The article details a practical, reusable enterprise architecture for data classification and grading that combines scanning tools, a rule‑engine with hot‑updates, a high‑performance identification service, and a security enforcement platform, addressing massive real‑time data volumes, diverse storage types, cross‑department isolation, and compliance with China’s data security laws.

Big DataData SecurityKafka
0 likes · 14 min read
Data Classification and Grading Architecture for Enterprise Data Security
Airbnb Technology Team
Airbnb Technology Team
May 12, 2022 · Information Security

Airbnb Data Privacy and Security Engineering – Data Protection Platform (DPP) Overview and Madoka Metadata System

Airbnb’s Data Protection Platform (DPP) combines automated discovery, classification, encryption and privacy‑orchestration services—Inspekt, Angmar, Cipher, Obliviate, Minister, and the Madoka metadata system—to continuously inventory petabyte‑scale MySQL, Hive and S3 assets, track ownership and security attributes, and enforce GDPR, PIPL and CCPA compliance.

AirbnbAutomationPrivacy Engineering
0 likes · 15 min read
Airbnb Data Privacy and Security Engineering – Data Protection Platform (DPP) Overview and Madoka Metadata System
Qunar Tech Salon
Qunar Tech Salon
Aug 6, 2019 · Information Security

Data Security Construction at Qunar: Practices and Experience

This article describes Qunar's comprehensive data security framework, covering data classification, warehouse access control, permission compliance, encryption, leakage detection, and the supporting institutional policies that together enable a small security team to protect large‑scale business data.

Access ControlData SecurityQunar
0 likes · 13 min read
Data Security Construction at Qunar: Practices and Experience
360 Quality & Efficiency
360 Quality & Efficiency
Feb 5, 2018 · Artificial Intelligence

Fundamentals of Recommendation Engines: User Profiling, Data Classification, and Testing Methods

The article explains the core concepts of recommendation engines—user profiling and data classification—describes how large‑scale data processing tools are used to build models, and outlines common offline and A/B testing approaches for evaluating recommendation performance.

AB testingdata classificationmachine learning
0 likes · 4 min read
Fundamentals of Recommendation Engines: User Profiling, Data Classification, and Testing Methods