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Data Governance

687 articles · Page 6 of 7
DevOps Cloud Academy
DevOps Cloud Academy
Nov 5, 2022 · Fundamentals

Understanding Data Architecture: Definitions, Problems Solved, Core Components, and Future Trends

This article explains what data architecture is, why it is essential for linking business and technology, outlines its main components such as data models, data flows, value streams and standards, and discusses emerging trends toward service‑oriented, consumption‑focused data architectures.

Data GovernanceData ManagementData Modeling
0 likes · 9 min read
Understanding Data Architecture: Definitions, Problems Solved, Core Components, and Future Trends
DataFunSummit
DataFunSummit
Nov 1, 2022 · Big Data

Case Study of DCMM Standard Implementation at State Grid Tianjin Electric Power

This article details State Grid Tianjin Electric Power's early adoption and successful certification of the national DCMM data management maturity model, outlining background, certification milestones, systematic practices, and lessons learned that illustrate how data governance, architecture, and application strategies drive digital transformation.

Big DataCase studyDCMM
0 likes · 11 min read
Case Study of DCMM Standard Implementation at State Grid Tianjin Electric Power
DevOps Cloud Academy
DevOps Cloud Academy
Oct 27, 2022 · Big Data

Understanding DataOps: Concepts, Standards, and Enterprise Practices

This article explains DataOps as a methodology for improving data analysis quality and efficiency, outlines its origins, standards, and maturity model, and presents practical insights and case studies from Chinese enterprises on how DataOps addresses common data engineering challenges and drives digital transformation.

Big DataData GovernanceData Management
0 likes · 12 min read
Understanding DataOps: Concepts, Standards, and Enterprise Practices
DataFunTalk
DataFunTalk
Oct 26, 2022 · Big Data

Metadata Management and Governance Practices at Wing Payment: Architecture, Techniques, and Future Outlook

This article explains how metadata serves as the foundation of enterprise data governance, outlines common data governance challenges, describes Wing Payment's metadata governance framework and platform architecture, and presents future directions such as multi‑source management, cross‑cluster disaster recovery, and intelligent recommendation.

Big DataData Governancedata lineage
0 likes · 18 min read
Metadata Management and Governance Practices at Wing Payment: Architecture, Techniques, and Future Outlook
Kuaishou Big Data
Kuaishou Big Data
Oct 25, 2022 · Big Data

How Kuaishou Built a Scalable Big Data Platform with Unified Data Quality and Metric Services

This article details Kuaishou's end‑to‑end big data platform, describing its organizational model, unified data governance framework, comprehensive data‑quality solution, the design of a headless metric platform, key technologies such as automatic modeling and code generation, and future directions toward a decentralized, smart data fabric.

Big DataData GovernanceData Modeling
0 likes · 21 min read
How Kuaishou Built a Scalable Big Data Platform with Unified Data Quality and Metric Services
DataFunSummit
DataFunSummit
Oct 22, 2022 · Big Data

Tencent Music's Data Asset Management and Governance Practices

The article details Tencent Music's data governance journey, describing the background of rapid resource growth, challenges in cost management, a multi‑layered governance methodology—including metadata, tiered storage, and a Lego metadata platform—and the resulting improvements in resource utilization and data quality.

Big DataData GovernanceResource Optimization
0 likes · 14 min read
Tencent Music's Data Asset Management and Governance Practices
Youzan Coder
Youzan Coder
Sep 29, 2022 · Big Data

Implementing Spark Data Lineage with Spline: A Step‑by‑Step Guide

This article explains the growing importance of data lineage in large data warehouses, evaluates three Spark lineage extraction approaches, and provides a detailed, step‑by‑step guide to integrating the open‑source Spline agent—including codeless and programmatic initialization, configuration, dispatcher setup, post‑processing, and known limitations.

Apache SparkBig DataData Governance
0 likes · 16 min read
Implementing Spark Data Lineage with Spline: A Step‑by‑Step Guide
Meituan Technology Team
Meituan Technology Team
Sep 22, 2022 · Information Security

Tokenization for Data Security: Design, Implementation, and Engineering Practices

The article explains how tokenization transforms data security into a built‑in attribute that automatically scales with data growth, detailing its design principles, generation methods, architectural layers, security safeguards, and practical engineering experiences to address exposure risks in modern digital businesses.

Data GovernancePIIdata security
0 likes · 24 min read
Tokenization for Data Security: Design, Implementation, and Engineering Practices
ShiZhen AI
ShiZhen AI
Sep 7, 2022 · Big Data

Getting Started with DataHub: A One‑Stop Guide to Metadata Governance

This article walks you through the fundamentals of data governance, explains metadata management concepts, compares traditional tools with DataHub, and provides a step‑by‑step tutorial for installing Docker, Python, and DataHub 0.8.20 on CentOS 7, ingesting MySQL metadata, and exploring the UI.

Big DataData GovernanceDataHub
0 likes · 19 min read
Getting Started with DataHub: A One‑Stop Guide to Metadata Governance
Past Memory Big Data
Past Memory Big Data
Aug 23, 2022 · Big Data

JD Tech’s Event‑Tracking Data Governance and One‑Stop Platform: Practices and Innovations

The article explains why event‑tracking data needs governance, outlines a full‑link governance methodology, describes the organizational setup, and details the features of JD Tech’s one‑stop tracking management platform, including metadata unification, one‑click validation, real‑time dashboards, visualization tools, and H5‑native data integration.

Data GovernanceH5-native integrationReal-time Dashboard
0 likes · 16 min read
JD Tech’s Event‑Tracking Data Governance and One‑Stop Platform: Practices and Innovations
DataFunSummit
DataFunSummit
Aug 19, 2022 · Big Data

Taobao Data Model Governance: Challenges, Analysis, and Solutions

This article presents a comprehensive overview of Taobao's data model governance, detailing the background and problems of the current data architecture, analyzing root causes, proposing a structured governance framework with DataWorks automation, and outlining future plans to improve efficiency, standardization, and product tooling.

AlibabaBig DataData Governance
0 likes · 13 min read
Taobao Data Model Governance: Challenges, Analysis, and Solutions
DataFunSummit
DataFunSummit
Aug 17, 2022 · Big Data

Data Governance Practices and Frameworks: Insights from Alibaba

This article presents an overview of data governance concepts, common enterprise challenges, and Alibaba's comprehensive data governance framework, covering theory, demand layers, practical solutions for stability, quality, standards, security, cost control, and the supporting platforms and operational practices.

AlibabaBig DataData Governance
0 likes · 13 min read
Data Governance Practices and Frameworks: Insights from Alibaba
High Availability Architecture
High Availability Architecture
Aug 15, 2022 · Big Data

Comprehensive Guide to Event Tracking Governance and the One‑Stop Tracking Management Platform

This article explains why event‑tracking (埋点) governance is essential, outlines the methodology and practice of full‑link tracking management, and introduces the one‑stop tracking platform with its innovative features such as standardized processes, verification tools, real‑time dashboards, cross‑platform data unification, and future roadmap.

Big DataData GovernanceMonitoring
0 likes · 15 min read
Comprehensive Guide to Event Tracking Governance and the One‑Stop Tracking Management Platform
DataFunTalk
DataFunTalk
Aug 13, 2022 · Big Data

Data Governance Practices and Logical Closed‑Loop at KuaiKan

The talk outlines KuaiKan's data governance journey, describing the rapid business growth challenges, the three‑step logical closed‑loop framework, practical experiences in business scope management, data asset governance, collaboration techniques, and future outlook, highlighting evaluation metrics and ongoing improvements.

Big DataData Governancedata quality
0 likes · 16 min read
Data Governance Practices and Logical Closed‑Loop at KuaiKan
Python Crawling & Data Mining
Python Crawling & Data Mining
Aug 6, 2022 · Operations

Why Operations Data Quality Is the Key to Successful Digital Transformation

In the era of big data, poor operations data quality undermines analytics, decision‑making and digital transformation, so organizations must adopt a three‑dimensional governance approach—covering organization, processes and technology—to ensure completeness, consistency, accuracy, uniqueness, relevance and timeliness of their operational data.

Data GovernanceIT ManagementOperations
0 likes · 17 min read
Why Operations Data Quality Is the Key to Successful Digital Transformation
Snowball Engineer Team
Snowball Engineer Team
Aug 5, 2022 · Big Data

Snowball Data Warehouse Modeling and OneData System Implementation

This article outlines Snowball's data warehouse background, compares major modeling approaches such as ER, dimensional, DataVault and Anchor models, describes the current challenges of their dimensional model, and details the OneData methodology—including OneModel, OneID, and OneService—along with its practical implementation, results, and future plans.

Big DataData GovernanceData Warehouse
0 likes · 23 min read
Snowball Data Warehouse Modeling and OneData System Implementation
High Availability Architecture
High Availability Architecture
Aug 5, 2022 · Big Data

Innovative Marketing Practices on the Cloud: How an Intelligent Data Lake Enables Flexible and Efficient Marketing Capabilities

The presentation details how Amazon Web Services’ intelligent data lake architecture integrates big data and machine learning to overcome marketing challenges, improve data governance, and provide scalable, real‑time analytics for personalized, data‑driven marketing across enterprises.

AWSBig DataCloud Computing
0 likes · 13 min read
Innovative Marketing Practices on the Cloud: How an Intelligent Data Lake Enables Flexible and Efficient Marketing Capabilities
Architecture Digest
Architecture Digest
Aug 1, 2022 · Big Data

Understanding Data Lakes: Concepts, Features, Architectures, and Vendor Solutions

This article provides a comprehensive overview of data lakes, explaining their definition, key characteristics, architectural evolution, and detailed comparisons of major cloud providers' solutions, while also presenting typical use cases, construction processes, and future development directions for this emerging big‑data infrastructure.

AWSAlibaba CloudAzure
0 likes · 52 min read
Understanding Data Lakes: Concepts, Features, Architectures, and Vendor Solutions
Big Data Technology Architecture
Big Data Technology Architecture
Jul 28, 2022 · Big Data

Reflections on Data Governance Challenges and Approaches

The author shares a candid account of transitioning from a non‑data role to confronting data‑centric bottlenecks, describing the current state of data projects, common pitfalls, and practical thoughts on simplifying data governance within limited resources and budget constraints.

Big DataDAMAData Governance
0 likes · 7 min read
Reflections on Data Governance Challenges and Approaches
Architects Research Society
Architects Research Society
Jul 26, 2022 · Information Security

Data Governance: Securing the Data Lifecycle in Cloud Environments

This article explains how enterprises can implement data governance to protect data throughout its lifecycle—collection, storage, processing, and deletion—especially in public and hybrid cloud settings, outlining SABSA categories, key questions, and practical considerations for secure data management.

Cloud securityData GovernanceSABSA
0 likes · 6 min read
Data Governance: Securing the Data Lifecycle in Cloud Environments
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jul 26, 2022 · Big Data

How Alibaba’s Big Data Model Governance Boosted Efficiency and Cut Costs

This report details Alibaba’s large‑scale data model governance initiative for the DaTao ecosystem, analyzing current data issues such as naming inconsistencies, low reuse, and application‑layer inefficiencies, and presents a comprehensive solution—including a model evaluation system, DataWorks co‑development, intelligent modeling, data map enhancements, and future roadmap—to improve data health, reduce costs, and increase operational efficiency.

Big DataData GovernanceDataWorks
0 likes · 15 min read
How Alibaba’s Big Data Model Governance Boosted Efficiency and Cut Costs
DataFunTalk
DataFunTalk
Jul 25, 2022 · Big Data

Taobao Data Model Governance and Intelligent Modeling with DataWorks

This article summarizes Guo Jinshi's presentation on Taobao's data model governance, covering the current data landscape, identified problems, analysis of root causes, proposed governance solutions—including DataWorks intelligent modeling—and future plans, while also providing a Q&A session on practical implementation.

AlibabaBig DataData Governance
0 likes · 13 min read
Taobao Data Model Governance and Intelligent Modeling with DataWorks
AntTech
AntTech
Jun 29, 2022 · Information Security

Data Confidentiality Era: Development and Security – Highlights from Wei Tao’s 2022 Big Data Summit Speech

Wei Tao, Vice President of Ant Group, outlined the transition to a data‑confidentiality era, emphasizing the need for privacy‑computing security grading, technical requirements, and industry collaboration to safely circulate data as a new production factor in the post‑2022 big data landscape.

Data Governanceconfidential datadata security
0 likes · 11 min read
Data Confidentiality Era: Development and Security – Highlights from Wei Tao’s 2022 Big Data Summit Speech
Pupu Technology
Pupu Technology
Jun 29, 2022 · Big Data

From 1.0 to 3.0: Evolution of a Data Sandbox Platform on AWS EMR

This article chronicles the step‑by‑step evolution of a data‑sandbox platform built on AWS EMR, detailing architectural changes from a simple S3‑backed 1.0 version through a Ranger‑secured 2.0 iteration to a cost‑optimized 3.0 design that balances security, performance, and usability for business analysts.

AWS EMRApache RangerBig Data Security
0 likes · 24 min read
From 1.0 to 3.0: Evolution of a Data Sandbox Platform on AWS EMR
政采云技术
政采云技术
Jun 21, 2022 · Big Data

Overview of the Traffic Domain and Its Data Governance Architecture

This document presents a comprehensive overview of the traffic domain in a data warehouse, covering its concepts, objectives, guiding principles, core and extension models, data quality, monitoring, scheduling, and operational practices to achieve a complete, accurate, efficient, low‑cost, and high‑value traffic data system while addressing massive data volume, consistency, and SLA challenges.

Big DataData GovernanceData Modeling
0 likes · 15 min read
Overview of the Traffic Domain and Its Data Governance Architecture
DataFunTalk
DataFunTalk
Jun 2, 2022 · Big Data

Data Governance Practices and Product Strategy at NetEase: Challenges, Solutions, and Future Plans

The article presents NetEase's internal data governance experience, outlining past challenges, current pain points, a comprehensive product strategy covering scope, value quantification, and feature implementation, and shares initial results and future plans to build an automated, end‑to‑end big‑data optimization platform.

Data Governancecost optimizationdata quality
0 likes · 13 min read
Data Governance Practices and Product Strategy at NetEase: Challenges, Solutions, and Future Plans
Architect
Architect
May 25, 2022 · Big Data

Metadata Infrastructure and Governance in Bilibili's Data Platform

The article details how Bilibili built a unified metadata infrastructure—including a URN‑based model, collection pipelines, quality assurance, storage in TiDB/ES/HugeGraph, and query services—to support data discovery, lineage, impact analysis, and governance across its growing data platform.

Big DataData GovernanceETL
0 likes · 21 min read
Metadata Infrastructure and Governance in Bilibili's Data Platform
Bilibili Tech
Bilibili Tech
May 24, 2022 · Big Data

Metadata Infrastructure and Governance in Bilibili Data Platform

Bilibili’s data platform consolidates scattered metadata into a unified URN‑based model stored across TiDB, Elasticsearch, and HugeGraph, offering batch‑pull and embedded collection, flexible SQL‑like queries, comprehensive lineage mapping, and powering data‑map, lineage‑map, and impact‑analysis tools while planning expanded quality assurance and self‑service dictionaries.

Data GovernanceMetadataSQL parsing
0 likes · 21 min read
Metadata Infrastructure and Governance in Bilibili Data Platform
Architects Research Society
Architects Research Society
May 17, 2022 · Information Security

Understanding Data Governance, Models, Policies, and Best Practices

The article explains data governance concepts, outlines four common governance models, details key policy elements such as availability, quality, integrity, usability, and security, and highlights the benefits, risks, and best‑practice recommendations for implementing effective data governance in organizations.

Data GovernanceData Managementcompliance
0 likes · 10 min read
Understanding Data Governance, Models, Policies, and Best Practices
DaTaobao Tech
DaTaobao Tech
May 13, 2022 · Big Data

Taobao Big Data Model Governance and DataWorks Co‑development

Taobao’s rapidly expanding technical data system faced naming inconsistencies, low table reuse, and costly, inefficient data usage, prompting a joint effort with DataWorks to digitize model evaluation, enforce standardized governance, deliver intelligent end‑to‑end modeling tools, and launch a development assistant, resulting in a health‑monitoring dashboard, upgraded data maps, and a roadmap for further automation and architecture refinement.

Big DataData GovernanceData Modeling
0 likes · 12 min read
Taobao Big Data Model Governance and DataWorks Co‑development
Meituan Technology Team
Meituan Technology Team
May 12, 2022 · Operations

Systematic Data Governance Framework and Practices at Meituan Accommodation

The Meituan Accommodation data governance team shares how they evolved from ad‑hoc, single‑point fixes to a systematic, automated governance framework—covering management, standards, capability, execution, evaluation, and vision—using standardization, digitization, and systematization to achieve measurable quality, cost and efficiency gains across thousands of data assets.

AutomationData GovernanceMeituan
0 likes · 33 min read
Systematic Data Governance Framework and Practices at Meituan Accommodation
vivo Internet Technology
vivo Internet Technology
Apr 20, 2022 · Big Data

Implementing Field Lineage in Spark SQL: A Technical Deep Dive

The article details how to add field‑lineage tracking to Spark SQL by creating a custom SparkSessionExtension that injects a check‑analysis rule and a parser, which capture INSERT statements, analyze the physical plan, and generate a JSON mapping of source‑to‑target fields for data governance.

Data GovernanceField LineageLogical Plan
0 likes · 9 min read
Implementing Field Lineage in Spark SQL: A Technical Deep Dive
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 7, 2022 · Big Data

How Alibaba’s Big Data Model Governance Boosted Efficiency and Cut Costs

This article details Alibaba's large‑scale data model governance initiative, analyzing current data issues, presenting a comprehensive solution—including model digitization, public model sinking, productization, daily governance, and search‑enhancement—and outlining achieved results and future plans to further improve data quality, reuse, and operational efficiency.

Data EfficiencyData GovernanceData Modeling
0 likes · 12 min read
How Alibaba’s Big Data Model Governance Boosted Efficiency and Cut Costs
dbaplus Community
dbaplus Community
Mar 15, 2022 · Big Data

How to Build a Real‑Time Data Warehouse with Flink SQL: Architecture, Implementation, and Governance

This article explains the challenges of early real‑time data pipelines, introduces a layered real‑time warehouse architecture, provides step‑by‑step Flink SQL code for building a demo warehouse, and covers comprehensive data governance, quality metrics, lifecycle management, and naming conventions for production‑grade big‑data systems.

Data GovernanceFlink SQLReal-time Data Warehouse
0 likes · 60 min read
How to Build a Real‑Time Data Warehouse with Flink SQL: Architecture, Implementation, and Governance
BaiPing Technology
BaiPing Technology
Mar 14, 2022 · Big Data

Mastering DataWorks & MaxCompute: A Complete Guide to Big Data Architecture and Governance

DataWorks, Alibaba Cloud’s comprehensive PaaS platform, combined with the serverless MaxCompute data warehouse, offers an integrated solution for data integration, development, quality, and services, while detailed naming and layer conventions ensure scalable, maintainable big‑data architectures and effective governance across ODS, CDM, DWD, DWS, and ADS layers.

Big DataCloud Data WarehouseData Governance
0 likes · 8 min read
Mastering DataWorks & MaxCompute: A Complete Guide to Big Data Architecture and Governance
政采云技术
政采云技术
Feb 8, 2022 · Industry Insights

Unlocking Enterprise Value with a Data Middle Platform: Architecture & Indicators

This article traces the evolution from traditional data warehouses to modern data lakes and data middle platforms, explains why siloed data development hampers efficiency, and details the architecture and indicator‑library design used by Zhengcaiyun to achieve unified, reusable data services.

Big DataData GovernanceData Lakehouse
0 likes · 14 min read
Unlocking Enterprise Value with a Data Middle Platform: Architecture & Indicators
DevOps
DevOps
Jan 26, 2022 · R&D Management

Digital R&D Management Capability Building for Financial Organizations

This article outlines the comprehensive architecture and key points for building digital R&D management capabilities in financial organizations, reviewing historical challenges, identifying four major pain points, proposing an overall framework, detailing twelve essential capabilities, and offering principles for effective implementation.

Data GovernanceFinancial IndustryR&D Management
0 likes · 20 min read
Digital R&D Management Capability Building for Financial Organizations
DataFunTalk
DataFunTalk
Jan 24, 2022 · Big Data

MobTech Data Governance and Security Practices: Architecture, Implementation, and Financial Industry Use Cases

This article presents MobTech’s comprehensive data governance and security practices, covering the necessity of governance, its benefits, a full‑chain governance framework, specific challenges in the financial sector, the evolution of their integrated architecture, and detailed implementations of security, model, asset, monitoring, and quality management systems.

Data Governancedata qualityfinancial technology
0 likes · 21 min read
MobTech Data Governance and Security Practices: Architecture, Implementation, and Financial Industry Use Cases
DataFunSummit
DataFunSummit
Jan 23, 2022 · Big Data

MobTech's Integrated Data Governance Practices and Architecture

This article presents MobTech's comprehensive data governance and security practices, covering the necessity of governance, challenges in large‑scale data environments, the full‑link governance chain, modular architecture, and specific implementations for financial risk‑control scenarios.

Big DataData GovernanceData Management
0 likes · 19 min read
MobTech's Integrated Data Governance Practices and Architecture
Big Data Technology & Architecture
Big Data Technology & Architecture
Jan 18, 2022 · Big Data

Data Warehouse Data Quality Measurement Standards

The article outlines four key dimensions for evaluating data warehouse data quality—correctness, completeness, timeliness, and consistency—explains common consistency issues such as differing metric values across models, cross‑dimensional aggregations, and real‑time versus batch calculations, and proposes organizational and review mechanisms to mitigate these problems.

Big DataData GovernanceData Warehouse
0 likes · 9 min read
Data Warehouse Data Quality Measurement Standards
21CTO
21CTO
Jan 13, 2022 · Fundamentals

How to Achieve Data Maturity: Turning Data into a Strategic Product

The article explains why data maturity is essential for modern enterprises, defines its three pillars—people, tools, and readiness—shows how treating data as a product follows the same principles as great products, and outlines the four S (Speed, Scale, Simplicity, SQL) that guide a mature data ecosystem.

Big DataData GovernanceData Product
0 likes · 6 min read
How to Achieve Data Maturity: Turning Data into a Strategic Product
21CTO
21CTO
Jan 8, 2022 · Big Data

How Amazon’s Intelligent Lakehouse Redefines Big Data Architecture

The article examines Amazon’s Intelligent Lakehouse architecture, tracing its evolution from early data‑lake‑warehouse integrations to a modern, serverless, secure, and AI‑enhanced platform that unifies data storage, governance, and analytics to lower big‑data costs and boost agility.

Big DataData GovernanceData Lake
0 likes · 12 min read
How Amazon’s Intelligent Lakehouse Redefines Big Data Architecture
Volcano Engine Developer Services
Volcano Engine Developer Services
Jan 4, 2022 · Big Data

How ByteDance Scales EB-Level Data: Architecture, BP Model & Real-Time Insights

ByteDance’s data platform, built over seven years, now handles exabyte-scale data and over 100 million TPS, using a hybrid “middle‑platform + Business Partner” model, custom engines like ClickHouse/ByteHouse, agile governance, and a suite of products to support internal and external businesses, illustrating large-scale big-data engineering practices.

Big DataByteDanceClickHouse
0 likes · 22 min read
How ByteDance Scales EB-Level Data: Architecture, BP Model & Real-Time Insights
Big Data Technology & Architecture
Big Data Technology & Architecture
Jan 4, 2022 · Big Data

Big Data Mastery Roadmap: Learning Path, Resources, Future Trends and Interview Guidance

This comprehensive guide outlines a step‑by‑step learning roadmap for aspiring big data professionals, covering fundamentals, programming languages, Linux, databases, distributed theory, networking, offline and real‑time computing, data governance, warehouses, toolchains, video/book recommendations, future industry trends, interview tips, and community resources.

Big DataData GovernanceInterview Tips
0 likes · 42 min read
Big Data Mastery Roadmap: Learning Path, Resources, Future Trends and Interview Guidance
dbaplus Community
dbaplus Community
Dec 22, 2021 · Fundamentals

How Xiaomi Built a Scalable Metadata Platform for Data Governance

This article details Xiaomi's end‑to‑end metadata platform, covering its three‑layer architecture, the evolution of full‑domain metadata, real‑time lineage, precise measurement, and how these capabilities enable data map, governance, cost control, and quality improvements for future business empowerment.

Data GovernanceMetadataXiaomi
0 likes · 20 min read
How Xiaomi Built a Scalable Metadata Platform for Data Governance
DataFunSummit
DataFunSummit
Dec 22, 2021 · Big Data

Data Governance Practices and Experiences at NetEase Cloud Music

This article details NetEase Cloud Music's comprehensive data governance journey, covering data warehouse architecture, data standards, event tracking (埋点) governance, asset lifecycle management, and future automation plans, illustrating how systematic governance improves data quality, cost efficiency, and business insight.

Big DataData GovernanceData Warehouse
0 likes · 21 min read
Data Governance Practices and Experiences at NetEase Cloud Music
Architects Research Society
Architects Research Society
Dec 21, 2021 · Fundamentals

Next-Generation Master Data Management (MDM): Architecture, Business Value, and Technical Challenges

This article explains master data management concepts, regulatory drivers, business benefits, key technical challenges, architectural trends such as graph databases and machine learning, and highlights leading vendors, providing a comprehensive overview for enterprises seeking modern MDM solutions.

Big DataData GovernanceGraph Database
0 likes · 9 min read
Next-Generation Master Data Management (MDM): Architecture, Business Value, and Technical Challenges
Architects Research Society
Architects Research Society
Dec 20, 2021 · Fundamentals

Common Misconceptions About Master Data Management (MDM)

The article explains common misconceptions about Master Data Management, emphasizing its enterprise-wide scope, the importance of data quality, governance, workflow, real‑time integration, and the need for organizational change management, while warning against treating MDM as a simple project.

Data GovernanceMDMdata quality
0 likes · 8 min read
Common Misconceptions About Master Data Management (MDM)
Baidu Geek Talk
Baidu Geek Talk
Dec 20, 2021 · Mobile Development

Master Data Management: Concepts, Architecture, and Practical Implementation in Baidu Smart Mini Programs

The article outlines master data management concepts and maturity levels, then details Baidu Smart Mini Program’s practical architecture—spanning analysis, domain‑driven design, high‑availability services, transaction handling, caching, real‑time sync, and governance—that eliminates data silos, ensures consistency, and supports over 9,000 QPS with 99.99% SLA.

Baidu Mini ProgramsData Governancemaster data management
0 likes · 16 min read
Master Data Management: Concepts, Architecture, and Practical Implementation in Baidu Smart Mini Programs
Ctrip Technology
Ctrip Technology
Dec 16, 2021 · Big Data

Data Standard Management Practices in Ctrip Vacation Data Governance

This article outlines Ctrip Vacation's data standard management approach, covering why standards are needed, the three‑element framework of scope, tools, and policies, and detailed practices for data integration, production change handling, metadata governance, portal dashboard standardization, and self‑service query templating.

Big DataData GovernanceData Integration
0 likes · 12 min read
Data Standard Management Practices in Ctrip Vacation Data Governance
DataFunSummit
DataFunSummit
Dec 14, 2021 · Big Data

Data Map: Background, Definition, and Youzan’s Practical Implementation

This article introduces the concept of a data map, explains its background and goals, describes Youzan’s end‑to‑end data‑map practice—including full data lineage, search, management, link analysis, impact estimation, and optimization—and concludes with a summary and future outlook.

Big DataData GovernanceData Management
0 likes · 16 min read
Data Map: Background, Definition, and Youzan’s Practical Implementation
DataFunTalk
DataFunTalk
Dec 10, 2021 · Big Data

Building and Evolving NetEase Yanxuan Real-Time Computing Platform: Architecture, SQLization, Serviceization, and Data Governance

This article details NetEase Yanxuan's real-time computing platform development from 2017 to present, covering its architecture, Flink‑SQL development environment, service‑oriented deployment, resource optimization, cloud‑native migration, comprehensive data governance, and future plans for stream‑batch integration and intelligent job diagnostics.

Big DataCloud NativeData Governance
0 likes · 14 min read
Building and Evolving NetEase Yanxuan Real-Time Computing Platform: Architecture, SQLization, Serviceization, and Data Governance
DataFunSummit
DataFunSummit
Dec 10, 2021 · Big Data

Real‑Time Platform Construction at NetEase Yanxuan: Architecture, SQL‑Based Streaming, Serviceization, and Data Governance

This article details NetEase Yanxuan's evolution of a real‑time data platform from 2017 to present, covering background, current scale, layered architecture, Flink‑SQL development IDE, service‑oriented task execution, resource‑optimizing deployment modes, cloud‑native migration, comprehensive data governance, and future batch‑stream integration plans.

Big DataCloud NativeData Governance
0 likes · 15 min read
Real‑Time Platform Construction at NetEase Yanxuan: Architecture, SQL‑Based Streaming, Serviceization, and Data Governance
IT Architects Alliance
IT Architects Alliance
Dec 8, 2021 · Industry Insights

6 Proven Strategies to Modernize Your Cloud Data Warehouse

This article outlines six practical strategies—identifying bottlenecks, empowering data engineers, adopting distributed management, creating data contracts, embracing diverse perspectives, and streamlining workflows—to help organizations leverage cloud data warehouses more efficiently and drive better business intelligence outcomes.

Business IntelligenceCloud ComputingData Engineering
0 likes · 8 min read
6 Proven Strategies to Modernize Your Cloud Data Warehouse
Big Data Technology & Architecture
Big Data Technology & Architecture
Nov 28, 2021 · Big Data

OneData Methodology: Building a Unified Data Warehouse Architecture and Governance Framework

This article presents the OneData methodology for designing, standardizing, and governing a data warehouse, detailing background challenges, goals, industry references, core concepts, unified business and design consolidation, data modeling layers, naming conventions, data quality controls, and the resulting operational improvements and business value.

Big DataData GovernanceData Modeling
0 likes · 20 min read
OneData Methodology: Building a Unified Data Warehouse Architecture and Governance Framework
DataFunTalk
DataFunTalk
Nov 27, 2021 · Big Data

iQIYI Data Middle Platform: Architecture, Data Governance Practices, and Future Plans

The article details iQIYI’s data middle platform architecture and its comprehensive data governance practices, covering platform overview, data flow, unified standards, metadata management, production quality assurance, and future AI‑driven enhancements, illustrating how centralized data services improve reliability, efficiency, and security.

Big DataData GovernanceMetadata
0 likes · 27 min read
iQIYI Data Middle Platform: Architecture, Data Governance Practices, and Future Plans
AntTech
AntTech
Nov 26, 2021 · Information Security

Achieving “Computable but Not Identifiable”: Balancing Personal Data Protection and Industry Development with Trusted Computing

The article examines how the Personal Information Protection Law creates a new authorization framework and introduces the “computable but not identifiable” concept, arguing that trusted‑computing technologies and controlled environments can reconcile strict privacy safeguards with the data‑driven needs of AI and other industries.

Artificial IntelligenceData Governancedata anonymization
0 likes · 10 min read
Achieving “Computable but Not Identifiable”: Balancing Personal Data Protection and Industry Development with Trusted Computing
Baidu Geek Talk
Baidu Geek Talk
Nov 24, 2021 · Big Data

Building Big Data Infrastructure at Baidu Aifanfan: Architecture Practices and Lessons Learned

At Baidu Aifanfan, the data team built a unified real‑time and offline big‑data platform—leveraging Watt, Bigpipe, Fengge, AFS and Palo within Lambda/Kappa patterns and a fast‑slow parallel rollout—that cut OLAP query latency from 18 minutes to under 15 seconds, enabled self‑service analytics, and standardized metrics across 15 agile teams.

Apache DorisBig Data ArchitectureData Governance
0 likes · 23 min read
Building Big Data Infrastructure at Baidu Aifanfan: Architecture Practices and Lessons Learned
21CTO
21CTO
Nov 23, 2021 · Information Security

Dynamic Data Security: Unlocking Data Value and Protecting Privacy in Banking

In a recent statement, ICBC’s CTO emphasizes that data, as a crucial production factor, derives its core value during use, urging dynamic data security and personal information protection, cross‑institution collaboration, regulated data markets, and safe cross‑border flows to support a healthy digital economy.

Data Governancecross‑border datadata security
0 likes · 3 min read
Dynamic Data Security: Unlocking Data Value and Protecting Privacy in Banking
DataFunTalk
DataFunTalk
Oct 27, 2021 · Big Data

Data Value System and Cockpit Construction: A Case Study from CITIC Bank

This article explains how CITIC Bank's software development center built a data value system and management cockpit, detailing business objectives, overall architecture, digital management methodology, implementation steps, and real‑world usage to support the bank's digital transformation.

Big DataData Governancebanking analytics
0 likes · 16 min read
Data Value System and Cockpit Construction: A Case Study from CITIC Bank
DataFunSummit
DataFunSummit
Oct 26, 2021 · Big Data

Data Value System and Cockpit Construction: A Case Study from CITIC Bank

This article presents a comprehensive overview of CITIC Bank's data value system and cockpit construction, detailing business objectives, overall planning, digital management framework, methodology, implementation cases, and current usage, illustrating how data-driven analytics support the bank's digital transformation.

Big DataData CockpitData Governance
0 likes · 17 min read
Data Value System and Cockpit Construction: A Case Study from CITIC Bank
High Availability Architecture
High Availability Architecture
Oct 25, 2021 · Big Data

iQIYI Data Governance Practices: Event Tracking (Pingback) Governance and Application

The article details iQIYI's comprehensive data governance initiative for event tracking (Pingback), covering definitions, timing, quality requirements, governance challenges, standardized specifications, coordinate management, testing and gray‑release processes, upgrade workflows, and data security measures that together reduced event volume by 40% and cut resource consumption in half.

Big DataData Governanceanalytics
0 likes · 16 min read
iQIYI Data Governance Practices: Event Tracking (Pingback) Governance and Application
DataFunTalk
DataFunTalk
Oct 25, 2021 · Big Data

Building a Multi‑Dimensional Analysis System at Baixin Bank: Practices and Insights

This article details Baixin Bank’s multi‑dimensional analysis framework, covering the bank’s business model, data accuracy, completeness and usability requirements, the design of indicator and analysis systems, ladder‑style service concepts, user‑product‑enterprise scenario modeling, and the implementation of self‑service data products and governance processes.

BIBankingData Governance
0 likes · 20 min read
Building a Multi‑Dimensional Analysis System at Baixin Bank: Practices and Insights
iQIYI Technical Product Team
iQIYI Technical Product Team
Oct 15, 2021 · Industry Insights

How iQIYI Streamlined Event Tracking: A Deep Dive into Data Governance

This article details iQIYI's comprehensive data‑governance practice for event tracking, covering the definition of pingback, the need for governance, the governance framework, coordinate management, gray‑data handling, and the upgrade process that reduced tracking volume by 40% while cutting resource consumption in half.

Big DataData Governanceanalytics
0 likes · 17 min read
How iQIYI Streamlined Event Tracking: A Deep Dive into Data Governance
iQIYI Technical Product Team
iQIYI Technical Product Team
Oct 9, 2021 · Big Data

iQIYI Data Quality Monitoring: Exploration and Practice

At iTech Salon, iQIYI’s Peng Tao outlined a three‑layer data‑quality monitoring framework—pingback, middle, and business report layers—detailing anomaly‑detection techniques such as thresholds, statistical, correlation and Prophet forecasting, and announced future plans for intelligent rule generation and automated attribution to pinpoint root causes.

Data Governancedata qualityrule engine
0 likes · 11 min read
iQIYI Data Quality Monitoring: Exploration and Practice
IT Architects Alliance
IT Architects Alliance
Sep 12, 2021 · Industry Insights

Data Warehouse vs. Database: Core Differences and Building a Data Platform

This article explains what a data warehouse is, contrasts it with traditional databases, outlines how to design and build a data warehouse—including model selection, topic domain division, bus matrix, layered architecture, and data governance—then expands to the concept of a data middle platform and its distinction from data lakes and big‑data platforms.

Big DataData GovernanceData Modeling
0 likes · 18 min read
Data Warehouse vs. Database: Core Differences and Building a Data Platform
WecTeam
WecTeam
Sep 10, 2021 · Mobile Development

Boost Build Speed 35%: Swift‑ObjC Mixed Compilation & ByteDance Data Governance

This week’s WecTeam Front‑end Weekly spotlights two technical deep‑dives: a Swift‑Objective‑C mixed‑compilation technique that slashes build times by 35%, and ByteDance’s large‑scale data‑tracking governance framework that underpins its trillion‑plus real‑time analytics pipeline.

ByteDanceCompilation OptimizationData Governance
0 likes · 2 min read
Boost Build Speed 35%: Swift‑ObjC Mixed Compilation & ByteDance Data Governance
DevOps
DevOps
Sep 6, 2021 · Operations

Huawei's Digital Transformation Practice: Management, Process, and Technology Evolution

This article presents Huawei's extensive digital transformation journey, detailing the continuous management system reforms, strategic shifts across multiple industries, data governance challenges, and practical initiatives such as cloud platforms, intelligent supply chains, and customer‑centric digital experiences that together illustrate how large enterprises can achieve sustainable growth through digitalization.

Cloud ComputingData GovernanceEnterprise Management
0 likes · 33 min read
Huawei's Digital Transformation Practice: Management, Process, and Technology Evolution
dbaplus Community
dbaplus Community
Aug 31, 2021 · Big Data

How Meituan Waimai Built and Evolved Its Massive Data Warehouse from V1 to V3

This article details Meituan Waimai's data warehouse evolution—covering business context, four‑layer architecture, Spark‑based ETL, successive V1.0, V2.0, and V3.0 redesigns, data governance practices, resource‑optimization tactics, security measures, and future road‑maps—illustrated with diagrams and concrete technical choices.

Data GovernanceETLResource Optimization
0 likes · 24 min read
How Meituan Waimai Built and Evolved Its Massive Data Warehouse from V1 to V3
DataFunTalk
DataFunTalk
Aug 30, 2021 · Fundamentals

20 Practical Strategies for Effective Data Governance

Effective data governance hinges on leadership commitment, clear policies, skilled teams, and integration into business processes, and this article outlines twenty actionable strategies—from securing executive support and embedding rules in systems to fostering data quality, visualization, and sustainable operations—to guide organizations toward successful governance.

Data Governancedata qualityleadership
0 likes · 8 min read
20 Practical Strategies for Effective Data Governance
DataFunSummit
DataFunSummit
Aug 22, 2021 · Big Data

Evolution and Optimization of Meituan Waimai Offline Data Warehouse: Architecture, ETL, Modeling, Governance, and Future Plans

This article details the historical development, architectural layers, ETL migration to Spark, data modeling standards, governance processes, resource optimization, security measures, and future roadmap of Meituan Waimai's offline data warehouse, illustrating how the team addressed scalability and efficiency challenges.

Big DataData GovernanceData Modeling
0 likes · 21 min read
Evolution and Optimization of Meituan Waimai Offline Data Warehouse: Architecture, ETL, Modeling, Governance, and Future Plans
21CTO
21CTO
Aug 17, 2021 · Fundamentals

How Traditional Enterprises Can Master Digital Transformation: A 14th Five-Year Blueprint

The article explains that digital transformation for traditional companies requires a mindset shift beyond mere analysis of status and environment, and offers a PPT detailing the 14th Five-Year Plan, transformation roadmap, data governance, and AI application to guide enterprises through this strategic overhaul.

14th Five-Year PlanAIData Governance
0 likes · 2 min read
How Traditional Enterprises Can Master Digital Transformation: A 14th Five-Year Blueprint
Volcano Engine Developer Services
Volcano Engine Developer Services
Aug 3, 2021 · Big Data

Inside ByteDance’s Traffic Platform: Powering Trillions of Real‑Time Events

This article, compiled from a Volcano Engine meetup, explains how ByteDance’s unified traffic platform designs, governs, and processes massive event‑tracking data in real time, covering embedding content solutions, link architecture, dynamic processing engines, and data‑governance practices that support trillions of daily events.

Big DataData EngineeringData Governance
0 likes · 16 min read
Inside ByteDance’s Traffic Platform: Powering Trillions of Real‑Time Events
IT Architects Alliance
IT Architects Alliance
Jul 31, 2021 · Big Data

Alibaba's Data Platform Evolution: Four Stages, Core Challenges, and Future Trends

The article outlines Alibaba's twelve‑year journey building a data middle‑platform, detailing four development stages, the four major technical challenges faced, and emerging trends such as lake‑warehouse integration, autonomous data‑warehouse operation, natural‑language query, and AI‑driven data engineering.

AlibabaData Governancedata middle platform
0 likes · 17 min read
Alibaba's Data Platform Evolution: Four Stages, Core Challenges, and Future Trends
Architects' Tech Alliance
Architects' Tech Alliance
Jul 29, 2021 · Big Data

Alibaba's Data Platform Evolution: Four Stages, Core Challenges, and Future Trends

The article outlines Alibaba's twelve‑year journey of building a data middle platform, describing four development stages, the technical challenges faced, and emerging trends such as lake‑warehouse integration, autonomous data‑warehouse operation, natural‑language query, and AI engineering.

Artificial IntelligenceCloud ComputingData Governance
0 likes · 17 min read
Alibaba's Data Platform Evolution: Four Stages, Core Challenges, and Future Trends
ITPUB
ITPUB
Jul 7, 2021 · Big Data

How NetEase Cloud Music Scaled Its Data Warehouse for Billion‑User Traffic

This article details NetEase Cloud Music's journey of redesigning its data warehouse and governance processes to support over a billion monthly active users, covering pain points, standardization, shared services, self‑service tools, and the resulting improvements in data quality, latency, and operational efficiency.

Data Governanceanalyticsdata platform
0 likes · 19 min read
How NetEase Cloud Music Scaled Its Data Warehouse for Billion‑User Traffic
Architect
Architect
Jul 1, 2021 · Big Data

Data Governance Practices at Meituan Hotel Travel Platform

This article presents a comprehensive case study of Meituan's hotel‑travel data governance, covering the background, challenges, strategic goals, standardized processes, technical systems, cost and security optimizations, measurable outcomes, and future plans for automated governance.

Big DataData GovernanceMeituan
0 likes · 29 min read
Data Governance Practices at Meituan Hotel Travel Platform