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financial analytics

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DataFunTalk
DataFunTalk
Feb 17, 2023 · Big Data

Tencent Alluxio (DOP) Deployment and Optimization in Financial Data Analytics

This article describes how Tencent's Alluxio-based Data Orchestration Platform (DOP) was applied to financial analytics, detailing the business background, challenges of large‑scale OLAP workloads, the Alluxio architecture and usage modes, performance results, and the series of optimizations and tuning performed to achieve significant speedups.

AlluxioBig DataData Orchestration
0 likes · 15 min read
Tencent Alluxio (DOP) Deployment and Optimization in Financial Data Analytics
ByteDance Data Platform
ByteDance Data Platform
Feb 15, 2023 · Databases

How ByteHouse Powers Real‑Time Data Warehousing at Scale

ByteHouse, a cloud‑native data warehouse built on ClickHouse, delivers ultra‑fast real‑time and massive offline analytics with elastic scaling, addressing business needs in ByteDance and the financial sector through optimized architecture, ROI‑driven monitoring, and comprehensive operational tools.

Big DataByteHouseClickHouse
0 likes · 16 min read
How ByteHouse Powers Real‑Time Data Warehousing at Scale
DataFunTalk
DataFunTalk
Jul 24, 2022 · Big Data

Real-time Data Warehouse Empowering Fine-grained Intelligent Operations in Finance – A Practical Case Study

This talk by Zhongan Insurance’s Data Senior Director Shi Xingtian outlines the company’s digital transformation, detailing the 4633 framework, the real-time data warehouse architecture, the migration from ClickHouse to StarRocks, and how these technologies support fine‑grained, intelligent financial operations and advertising analytics.

Big DataStarRocksZhongan Insurance
0 likes · 14 min read
Real-time Data Warehouse Empowering Fine-grained Intelligent Operations in Finance – A Practical Case Study
DataFunTalk
DataFunTalk
Oct 9, 2021 · Databases

Building and Optimizing a Large‑Scale Graph Platform for Financial Risk Control at Du Xiaoman Financial

This article describes how Du Xiaoman Financial designed, built, and continuously optimized a massive graph platform—including data governance, graph learning, query performance, data import, and online deployment—to improve credit risk assessment using billions of nodes and edges, and shares practical lessons on graph databases, distributed training, and real‑time inference.

DGLJanusGraphLarge Scale
0 likes · 19 min read
Building and Optimizing a Large‑Scale Graph Platform for Financial Risk Control at Du Xiaoman Financial
DataFunSummit
DataFunSummit
Jul 31, 2021 · Artificial Intelligence

Credit Risk Strategies: From Rule‑Based Scoring to Machine Learning Models

This article presents a comprehensive overview of credit risk control strategies, covering industry background, traditional scoring‑card development, data integration, feature engineering, model evaluation, rate and limit optimization, and advanced machine‑learning approaches for loan underwriting.

Scoringcredit riskfinancial analytics
0 likes · 11 min read
Credit Risk Strategies: From Rule‑Based Scoring to Machine Learning Models
DataFunTalk
DataFunTalk
Jan 28, 2021 · Big Data

Real-Time Financial Data Lake: Architecture, Practices, and Applications at Zhongyuan Bank

This talk by Ba Xueyu, a senior big data platform engineer at Zhongyuan Bank, outlines the background, architecture, and engineering practices of a real‑time financial data lake, highlighting its open, timely, and integrated design, streaming platform implementation, and use cases such as anti‑fraud and real‑time BI.

Big DataFlinkanti-fraud
0 likes · 15 min read
Real-Time Financial Data Lake: Architecture, Practices, and Applications at Zhongyuan Bank