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DataFunTalk

Mar 25, 2023 · Artificial Intelligence

ZhongAn Financial Real‑Time Feature Platform: MLOps Practices, Architecture and Anti‑Fraud Applications

This article presents ZhongAn Financial’s end‑to‑end MLOps workflow and real‑time feature platform architecture, detailing team roles, data pipelines, Flink‑based processing, TableStore storage, anti‑fraud feature design, and answers to common implementation questions, offering a comprehensive guide for building scalable, low‑latency ML services in finance.

Data EngineeringFlinkReal-time Features

0 likes · 25 min read

ZhongAn Financial Real‑Time Feature Platform: MLOps Practices, Architecture and Anti‑Fraud Applications

Selected Java Interview Questions

Nov 8, 2020 · Backend Development

Designing a Scalable Feed Stream System Architecture

This article explains the principles, data models, storage choices, synchronization strategies, metadata handling, and scaling considerations for building a high‑performance feed‑stream system that can support millions to billions of users, with practical guidance on using NoSQL or relational databases.

NoSQLStorageSynchronization

0 likes · 21 min read

Designing a Scalable Feed Stream System Architecture

Architecture Digest

Apr 4, 2019 · Backend Development

Design and Implementation of a Modern IM Message Synchronization and Storage Architecture Using the TableStore Timeline Model

This article explains the evolution from traditional to modern instant‑messaging system architectures, introduces a Timeline logical model for message sync and storage, discusses read‑ and write‑diffusion strategies, evaluates database requirements, and demonstrates a TableStore‑based implementation with sample code.

Distributed SystemsIMMessage Synchronization

0 likes · 14 min read

Design and Implementation of a Modern IM Message Synchronization and Storage Architecture Using the TableStore Timeline Model