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data quality

318 articles · Page 4 of 4
DataFunTalk
DataFunTalk
Jul 1, 2019 · Artificial Intelligence

Data-Driven Foundations for Building Recommendation Systems

The article explains how data serves as a critical asset for recommendation systems, outlining the necessary steps from understanding business problems and data dimensions to collection, cleaning, integration, and analysis, while distinguishing explicit and implicit user feedback and emphasizing data quality, timeliness, and relevance.

Data CollectionETLRecommendation Systems
0 likes · 11 min read
Data-Driven Foundations for Building Recommendation Systems
Ctrip Technology
Ctrip Technology
Apr 11, 2019 · Artificial Intelligence

An Overview of Anomaly Detection Methods and Their Applications

This article introduces the concept of anomaly detection, outlines common application scenarios such as ELT pipelines, feature engineering, A/B testing, and fraud detection, and reviews various detection methods—including statistical models, machine learning, rule‑based logic, and density‑based techniques—while discussing practical implementation considerations.

anomaly detectiondata qualitystatistics
0 likes · 12 min read
An Overview of Anomaly Detection Methods and Their Applications
AntTech
AntTech
Feb 27, 2019 · Big Data

Ant Financial Data Governance: Practices and Challenges in Data Quality Management

The article details Ant Financial’s comprehensive data quality governance framework, covering its architecture, challenges, implementation strategies, and real‑world case studies, illustrating how the company integrates data monitoring, AI‑driven self‑healing, and rigorous release controls to ensure high‑quality data across its platform.

Ant FinancialBig DataData Governance
0 likes · 17 min read
Ant Financial Data Governance: Practices and Challenges in Data Quality Management
Beike Product & Technology
Beike Product & Technology
Dec 6, 2018 · Artificial Intelligence

Real Estate Rental Platform: True Listing Model and Credit System Construction

This presentation details how Beike Rental leverages big data and machine‑learning techniques to detect non‑authentic listings, build a four‑criterion true‑listing model, develop pricing and image‑analysis models, and design a merchant credit scoring system that improves service quality and market efficiency.

Credit Scoringdata qualityimage analysis
0 likes · 27 min read
Real Estate Rental Platform: True Listing Model and Credit System Construction
Efficient Ops
Efficient Ops
Aug 15, 2018 · Operations

Why Most CMDB Projects Fail and How Huawei Made It Work

This article analyzes the common reasons CMDB initiatives collapse, shares Huawei's three‑phase journey from inception to value creation, and distills practical lessons on data consumption, accuracy, automation, visualization, and organizational execution for successful configuration management.

CMDBHuaweiconfiguration management
0 likes · 27 min read
Why Most CMDB Projects Fail and How Huawei Made It Work
Architects' Tech Alliance
Architects' Tech Alliance
May 19, 2018 · Industry Insights

Which Five Emerging Tech Trends Will Redefine Enterprises in 2018?

Accenture's 2018 Technology Vision outlines five pivotal trends—Citizen AI, Extended Reality, True Data, Large‑Scale Collaboration, and the Intelligent Internet—explaining how they reshape business models, customer relationships, and the underlying infrastructure needed for future growth.

Artificial IntelligenceEnterprise CollaborationIntelligent IoT
0 likes · 6 min read
Which Five Emerging Tech Trends Will Redefine Enterprises in 2018?
Meituan Technology Team
Meituan Technology Team
Mar 22, 2018 · Big Data

DataMan: A Data Quality Governance Platform for Meituan's Big Data Ecosystem

Meituan’s DataMan platform provides a unified, closed‑loop data‑quality governance solution that collects demand, refines rules, executes monitoring across offline and real‑time jobs, tracks issues, and builds a knowledge base, improving completeness, accuracy, consistency, and timeliness while optimizing storage, reducing fault resolution time, and supporting data‑driven decisions.

Data GovernanceData WarehousePlatform
0 likes · 17 min read
DataMan: A Data Quality Governance Platform for Meituan's Big Data Ecosystem
Liulishuo Tech Team
Liulishuo Tech Team
Oct 22, 2017 · Big Data

Data-CI: A SQL-Based Data Unit Testing Framework for ETL

The article introduces data-ci, a SQL‑driven unit testing framework that lets engineers write, organize, and automate data validation tests for ETL pipelines, providing assertions, failure callbacks, coverage reporting, and CI integration to improve data quality and reliability.

Big DataETLSQL
0 likes · 9 min read
Data-CI: A SQL-Based Data Unit Testing Framework for ETL
ITPUB
ITPUB
Sep 30, 2017 · Big Data

Designing Scalable Open‑Source ETL Systems: Lessons from Baidu Waimai

This talk details Baidu Waimai's end‑to‑end ETL design, covering demand sources, data flow patterns, multi‑stage system evolution, storage choices, scheduling architecture, configuration‑driven processing, quality monitoring, and how data lineage enables transparent, self‑service data delivery.

Big DataData PipelineData Warehouse
0 likes · 25 min read
Designing Scalable Open‑Source ETL Systems: Lessons from Baidu Waimai
JD Retail Technology
JD Retail Technology
Sep 13, 2017 · Artificial Intelligence

Machine Learning Applications for Product Data Quality and Knowledge Graph Construction at JD.com

At the 2nd China Big Data International Summit 2017, JD’s chief architect presented how machine‑learning techniques are applied across e‑commerce to improve product data quality, ensure compliance, resolve image‑text mismatches, automate category identification, restructure titles, and build a multi‑dimensional product knowledge graph.

Artificial IntelligenceKnowledge Graphdata quality
0 likes · 9 min read
Machine Learning Applications for Product Data Quality and Knowledge Graph Construction at JD.com
Baidu Waimai Technology Team
Baidu Waimai Technology Team
Mar 21, 2017 · Backend Development

Automated Testing Framework for Baidu Waimai User Profiling Using Asynchronous Coroutines

This article describes how Baidu Waimai’s user‑profile offline data system was equipped with a highly automated, coroutine‑based testing framework that dramatically improves field‑value accuracy verification, test coverage, and execution efficiency across strategy, ES, and API layers.

Baidu Waimaiasynchronous coroutinesautomated testing
0 likes · 9 min read
Automated Testing Framework for Baidu Waimai User Profiling Using Asynchronous Coroutines
Baidu Intelligent Testing
Baidu Intelligent Testing
Jul 28, 2016 · Operations

Ensuring Store Data Quality in O2O Products: Processes and Rules

This article outlines the importance of store data in O2O products and presents a comprehensive workflow—including single‑attribute rules, multi‑attribute cross‑validation, and auxiliary checks—to detect and remediate low‑quality or erroneous store information, thereby improving user experience.

O2OOperationsdata quality
0 likes · 8 min read
Ensuring Store Data Quality in O2O Products: Processes and Rules
Baidu Intelligent Testing
Baidu Intelligent Testing
Jul 5, 2016 · Operations

O2O Data Quality Assurance Process for Online Movie Seat Selection

The article outlines a comprehensive O2O data quality assurance workflow for online movie seat selection, detailing background challenges, a three‑stage process, evaluation metrics, and a concrete case study that demonstrates how real‑time data monitoring and issue handling improve user experience.

O2OOperationsdata quality
0 likes · 6 min read
O2O Data Quality Assurance Process for Online Movie Seat Selection