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DataOps

67 articles · Page 1 of 1
Data Bricklaying Diary
Data Bricklaying Diary
Jul 23, 2026 · Artificial Intelligence

Operating High-Quality Datasets as Continuous Data Products for AI

This article presents a six-step framework for operating high-quality datasets as continuous data products, covering responsibility assignment, version baselines, quality and AI effect monitoring, feedback-to-candidate pipelines, controlled release strategies, and retirement mechanisms to ensure datasets evolve with business, models, and risk boundaries.

AI data productsAgentOpsDataOps
0 likes · 14 min read
Operating High-Quality Datasets as Continuous Data Products for AI
Big Data Tech Team
Big Data Tech Team
May 28, 2026 · Artificial Intelligence

Boosting Data Warehouse Productivity with AI: Practical Strategies and Use Cases

The article outlines how large language models can automate repetitive data‑warehouse tasks—from natural‑language SQL generation and standardized modeling to automated code review, metadata management, multimodal data handling, and self‑service analytics—presenting a three‑phase implementation roadmap for measurable efficiency gains.

AIChatBIDataOps
0 likes · 9 min read
Boosting Data Warehouse Productivity with AI: Practical Strategies and Use Cases
DataFunSummit
DataFunSummit
May 25, 2026 · Big Data

How Hisense Built an AI‑Ready Multimodal Data Platform: Storage, Governance, and Development

This article details Hisense's journey to create an AI‑ready multimodal data platform, covering the challenges of integrating diverse business systems, the shift from a Hadoop‑based architecture to a cloud‑native data lake, the JuData governance and development platform, and six practical scenarios that demonstrate unified ingestion, metadata management, rule‑based quality control, intelligent asset retrieval, and future AI‑driven DataOps capabilities.

AI platformData LakeDataOps
0 likes · 23 min read
How Hisense Built an AI‑Ready Multimodal Data Platform: Storage, Governance, and Development
StarRocks
StarRocks
Dec 25, 2025 · Big Data

How dbt, DataOps, and StarRocks Combine to Accelerate Real‑Time Data Modeling

This article explains how dbt drives automated data modeling and governance, how DataOps practices bring agility and control to data projects, and how StarRocks’ lakehouse architecture enables real‑time and batch analytics, illustrated with concrete workflows, version‑control conventions, and enterprise case studies.

Data ModelingDataOpsELT
0 likes · 14 min read
How dbt, DataOps, and StarRocks Combine to Accelerate Real‑Time Data Modeling
DataFunSummit
DataFunSummit
Nov 23, 2025 · Artificial Intelligence

How Large Language Models Are Revolutionizing Banking Data Integration

This article examines the challenges of traditional banking data, explains how large language models can fuse structured and unstructured information, outlines a new data‑centric infrastructure and governance approach, and describes the DiFY platform’s AI‑agent and DataOps capabilities for agile, non‑intrusive integration with core banking systems.

AI agentsDataOpsbanking data
0 likes · 16 min read
How Large Language Models Are Revolutionizing Banking Data Integration
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Sep 22, 2025 · Big Data

How Dataverse’s Notebook Supercharges Data+AI Development at Xiaohongshu

The article details Xiaohongshu’s Dataverse platform evolution into a Data+AI system, highlighting inefficiencies in algorithm and data‑science workflows, the introduction of an interactive notebook, comprehensive data lineage, AI‑coding assistance, and future DataAgent plans to automate data engineering tasks.

AI codingDataOpsdata lineage
0 likes · 21 min read
How Dataverse’s Notebook Supercharges Data+AI Development at Xiaohongshu
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Aug 6, 2025 · Operations

How Alibaba Cloud’s Serverless Elasticsearch Powers Data‑Driven Operations

Alibaba Cloud’s Serverless Elasticsearch service, combined with the SREWorks data‑driven operations platform, offers a cloud‑native, real‑time search and analytics engine that integrates metric and log collection, cost management, and health monitoring to enhance scalability, performance, and operational efficiency for enterprise applications.

DataOpsElasticsearchServerless
0 likes · 11 min read
How Alibaba Cloud’s Serverless Elasticsearch Powers Data‑Driven Operations
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Aug 5, 2025 · Operations

Inside Alibaba’s Tesla: Data‑Driven Ops for 100k+ Big Data Nodes

The article details how Alibaba’s Tesla SRE platform supports the massive offline and real‑time big‑data ecosystems through a layered, data‑driven operations framework—DataOps—integrating unified portals, configuration, job, workflow, and analytics platforms, enabling automated monitoring, intelligent decision‑making, and self‑healing capabilities across 100,000+ nodes.

AIOpsDataOpsSRE
0 likes · 20 min read
Inside Alibaba’s Tesla: Data‑Driven Ops for 100k+ Big Data Nodes
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Aug 4, 2025 · Operations

From Scripts to AIOps: How Alibaba’s Ops Evolved and What Skills You Need Today

Tracing Alibaba’s journey from manual, script‑based operations through tool‑centric and platform‑driven DevOps to the data‑focused DataOps era and emerging AIOps, the article outlines the shifting responsibilities, architectural challenges, and the multidisciplinary skill set required for modern operations engineers.

AIOpsDataOpsSkill Development
0 likes · 8 min read
From Scripts to AIOps: How Alibaba’s Ops Evolved and What Skills You Need Today
DataFunSummit
DataFunSummit
May 22, 2025 · Operations

Automated Fault Detection and Repair System for Grab's Data Pipelines (Hugo) – Architecture, Implementation, and Impact

This article presents Grab's Hugo platform, an automated fault‑detection and self‑healing system for over 4,000 data pipelines that combines multi‑source signal collection, intelligent diagnosis, layered auto‑repair, and a health API to dramatically improve data visibility, reduce manual intervention, and boost operational efficiency across the company.

DataOpsautomationbig data
0 likes · 12 min read
Automated Fault Detection and Repair System for Grab's Data Pipelines (Hugo) – Architecture, Implementation, and Impact
Lakehouse Research Base
Lakehouse Research Base
May 22, 2025 · Big Data

Four Core Data Science Challenges and the DataOps Solution

The article identifies four core challenges in data science—data acquisition and management, technical engineering gaps, team collaboration barriers, and maintenance issues—and proposes a DataOps approach across technology, process, and organization to transform data assets into business value.

Data QualityData ScienceDataOps
0 likes · 9 min read
Four Core Data Science Challenges and the DataOps Solution
Lakehouse Research Base
Lakehouse Research Base
May 20, 2025 · Big Data

Why DataOps Jobs Will Explode: The Chemistry of Analytics, Lean, Agile & DevOps

This article analyzes DataOps as a deep fusion of data analytics, lean thinking, agile practices, and DevOps culture, contrasting it with DevOps, detailing its four genetic components with case studies, explaining its emergence from technical, business, and organizational drivers, examining current hiring fragmentation and talent gaps, and predicting explosive job growth driven by policy, tooling maturity, and talent supply reforms.

AgileData PipelineData Quality
0 likes · 20 min read
Why DataOps Jobs Will Explode: The Chemistry of Analytics, Lean, Agile & DevOps
Lakehouse Research Base
Lakehouse Research Base
May 5, 2025 · Big Data

DataOps Best Practices on Alibaba Cloud: Architecture, CI/CD, Quality & Self-Healing

This article details a comprehensive DataOps implementation using Alibaba Cloud's DataWorks, Flink, StarRocks, MaxCompute, and Yunxiao pipeline, covering four-layer architecture, standardized development, automated CI/CD with gray releases, full-chain quality monitoring achieving 80% self-healing, cross-team collaboration, cost optimization, and a phased rollout roadmap delivering 30% faster delivery and 30% cost reduction.

Alibaba CloudCI/CDData Quality
0 likes · 18 min read
DataOps Best Practices on Alibaba Cloud: Architecture, CI/CD, Quality & Self-Healing
Data Thinking Notes
Data Thinking Notes
Mar 19, 2025 · Big Data

How to Maximize Data Asset Value: From DataOps to Monetization

This report outlines a comprehensive framework for turning raw data into valuable assets, introducing DataOps and panoramic data architecture, and detailing practical methods for data value assessment, asset circulation, and operational mechanisms to help enterprises build a solid value baseline and expand data asset applications.

DataOpsbig datadata asset management
0 likes · 4 min read
How to Maximize Data Asset Value: From DataOps to Monetization
DataFunSummit
DataFunSummit
Nov 1, 2024 · Big Data

DataFun Summit Session Overview and E‑book Access Instructions

The article outlines how to obtain the DataFun Summit e‑book by following the public account instructions and provides concise English summaries of twelve technical sessions covering data lineage, integration, AI language models, multimodal content, game AI agents, lake‑warehouse governance, big‑data architecture, and cluster management.

AIData IntegrationDataOps
0 likes · 5 min read
DataFun Summit Session Overview and E‑book Access Instructions
DataFunTalk
DataFunTalk
Jul 21, 2024 · Artificial Intelligence

Integrating DataOps with Large Language Models for Text2SQL: Practices, Challenges, and Future Directions

This article presents a comprehensive overview of how DataOps principles combined with large language models such as GPT‑4 enable more agile and intelligent data engineering workflows, focusing on Text2SQL applications, schema‑linking techniques, practical product implementations, and future research challenges.

AIDataOpsSchema Linking
0 likes · 23 min read
Integrating DataOps with Large Language Models for Text2SQL: Practices, Challenges, and Future Directions
DataFunTalk
DataFunTalk
May 13, 2024 · Big Data

Data Integration Maturity Model: From ETL to EtLT

The article examines the evolution of data integration architectures—from traditional ETL through ELT to the emerging EtLT model—highlighting their advantages, disadvantages, industry trends, maturity stages, and practical guidance for enterprises and professionals navigating modern big‑data pipelines.

Data IntegrationDataOpsELT
0 likes · 31 min read
Data Integration Maturity Model: From ETL to EtLT
DataFunSummit
DataFunSummit
May 13, 2024 · Big Data

Metadata‑Driven Data Governance: Concepts, Architectures, and Practices

This article explains how metadata‑driven data governance addresses the challenges of the digital economy by detailing the era background, limitations of traditional methods, the roles of Data Fabric, Data Mesh and DataOps, and presenting real‑world case studies and future directions.

AIData FabricData Mesh
0 likes · 14 min read
Metadata‑Driven Data Governance: Concepts, Architectures, and Practices
DevOps
DevOps
Jan 17, 2024 · Operations

Agile Data Management: Principles, Practices, and Implementation Guide

This article explains how agile methodologies can be applied to data management, covering the need for agile data practices, core principles, iterative modeling, governance, CI/CD pipelines, tooling, metrics, security, case studies, challenges, and future outlooks in a comprehensive, step‑by‑step guide.

AgileData ModelingDataOps
0 likes · 13 min read
Agile Data Management: Principles, Practices, and Implementation Guide
DataFunTalk
DataFunTalk
Dec 28, 2023 · Product Management

Building an Effective Data Platform: Insights and Practices from Tencent's Senior Product Manager

Senior Tencent product manager He Zhichao shares his experience and methodology for creating a high‑quality data platform, covering the transition from technical roles to product, understanding data users’ needs, the Euler asset‑factory implementation, product‑manager best practices, and solutions to common data‑engineering challenges.

DataOpsdata engineeringdata governance
0 likes · 16 min read
Building an Effective Data Platform: Insights and Practices from Tencent's Senior Product Manager
DataFunTalk
DataFunTalk
Dec 3, 2023 · Big Data

NetEase Data: Practices and Architecture of a Metrics Middle Platform

This article presents NetEase Data's end‑to‑end experience in building a metrics middle platform, covering product evolution, the motivations for a unified metrics layer, core technologies such as a logical semantic model, a custom metric query language, engine‑agnostic execution, and future roadmap plans.

Data AnalyticsDataOpsMetrics Platform
0 likes · 12 min read
NetEase Data: Practices and Architecture of a Metrics Middle Platform
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Nov 29, 2023 · Operations

How AIOps and DataOps Transform Big Data Operations: Lessons from ABM Platform

This article examines the challenges of big‑data operations, explains how DataOps and AIOps complement each other, and details the ABM intelligent operations architecture, platform components, and real‑world use cases such as Flink hotspot detection, ChatOps assistants, and dynamic MaxCompute resource optimization.

AIOpsDataOpsbig data operations
0 likes · 11 min read
How AIOps and DataOps Transform Big Data Operations: Lessons from ABM Platform
DataFunSummit
DataFunSummit
Oct 24, 2023 · Big Data

DataOps & DataFabric in the Era of Large Models

In this presentation, Guo Wei, CEO of Baijiang Open Source and seasoned big‑data expert, explores how large‑model AI reshapes DataOps and DataFabric, detailing efficiency gains, intelligent deployment, and future enterprise architectures for big‑data and AI integration.

Artificial IntelligenceDataFabricDataOps
0 likes · 3 min read
DataOps & DataFabric in the Era of Large Models
DataFunSummit
DataFunSummit
Oct 20, 2023 · Big Data

Tencent OLA t‑Metric Metric Platform: Headless BI Practices and Architecture

The article introduces Tencent's OLA data‑governance platform and its t‑Metric metric middle‑platform, explains the Headless BI concept, details the configuration‑driven metric production workflow, core capabilities, architecture, unified query service, ecosystem integration, and answers audience questions about real‑time analysis, dimension handling, and trust mechanisms.

DataOpsHeadless BIMetric Platform
0 likes · 21 min read
Tencent OLA t‑Metric Metric Platform: Headless BI Practices and Architecture
DataFunTalk
DataFunTalk
Oct 8, 2023 · Big Data

Full-Process DataOps Practices for Large-Scale Business Data Reporting at Baidu

This article reveals how Baidu implements end‑to‑end DataOps for its commercial data products, covering challenges of massive report generation, the design of a layered data architecture, platform‑wide automation, serverless deployment, risk control, monitoring, and optimization to achieve scalable, reliable data pipelines.

DataOpsOptimizationServerless
0 likes · 13 min read
Full-Process DataOps Practices for Large-Scale Business Data Reporting at Baidu
Bilibili Tech
Bilibili Tech
Sep 15, 2023 · Big Data

Introducing Bilibili's SQLScan: Architecture, Key Technologies, and Production Impact

Bilibili's SQLScan is a static‑code analysis tool that parses Hive, Spark, Presto and Flink SQL via Antlr4, builds a unified AST, applies engine‑specific metadata plugins for rule enforcement, provides field‑lineage and cost‑analysis services, and has processed hundreds of thousands of daily queries, intercepting thousands of problematic statements to improve data quality and operational efficiency.

BilibiliDataOpsSQL static analysis
0 likes · 11 min read
Introducing Bilibili's SQLScan: Architecture, Key Technologies, and Production Impact
DataFunSummit
DataFunSummit
Aug 28, 2023 · Big Data

Building Data Production Pipelines with DataOps: Concepts, Practices, and a Six‑Stage Workflow

This article introduces DataOps, outlines its background and the problems it addresses, describes NetEase’s big‑data product ecosystem, and details a six‑stage data production pipeline—including coding, orchestration, testing, code review, release approval, and deployment – plus insights into two pipeline explorations.

Data QualityDataOpsbig data
0 likes · 15 min read
Building Data Production Pipelines with DataOps: Concepts, Practices, and a Six‑Stage Workflow
Big Data Technology & Architecture
Big Data Technology & Architecture
Aug 22, 2023 · Big Data

DataOps Practices and Challenges at ByteDance: From Model to Productization

The article summarizes ByteDance's DataOps journey, detailing its mid‑platform tool and Data BP model, core performance metrics, quality, hardware and human efficiency challenges, concrete DataOps implementation, productization through DataLeap, best‑practice promotion, and future outlook for data‑driven business value.

ByteDanceDataOpsbig data
0 likes · 17 min read
DataOps Practices and Challenges at ByteDance: From Model to Productization
DataFunSummit
DataFunSummit
Jul 15, 2023 · Big Data

Intelligent and Automated Data Quality Management in Big Data Systems

This article explores the challenges of data quality in mature big‑data environments and presents intelligent, automated approaches—including assertions, automatic detection, rule recommendation, link checking, and collaborative mechanisms—to embed quality checks throughout the data pipeline, improving efficiency and reliability.

Data ObservabilityData QualityDataOps
0 likes · 18 min read
Intelligent and Automated Data Quality Management in Big Data Systems
Data Thinking Notes
Data Thinking Notes
Jul 5, 2023 · Big Data

Top 10 Big Data Trends Shaping China’s Data Industry in 2023

At the 2023 Big Data Industry Development Conference in Beijing, the China Communications Standards Association unveiled the top ten big‑data keywords, highlighting trends such as lake‑warehouse integration, data assetization, DataOps, intelligent analytics, data ethics, security, public data licensing, and cross‑border data flows.

Data EthicsDataOpsbig data
0 likes · 16 min read
Top 10 Big Data Trends Shaping China’s Data Industry in 2023
DataFunSummit
DataFunSummit
May 13, 2023 · Big Data

Expert Interview on Data Governance: Core Domains, Challenges, and Future Trends

In this interview, three data‑governance experts from Tencent, ByteDance, and Alibaba discuss the fundamental processes, core domains such as metadata, data lineage, metric systems, data quality and security, the main challenges they face, and emerging trends like DataOps, AI‑driven automation, and privacy‑preserving technologies.

Data QualityDataOpsdata governance
0 likes · 14 min read
Expert Interview on Data Governance: Core Domains, Challenges, and Future Trends
Data Thinking Notes
Data Thinking Notes
Mar 12, 2023 · Big Data

Why Data Middle Platforms Are Evolving: New Trends in Data Governance and DataOps

The article examines how China's data middle platform concept is reshaping enterprise data strategy, highlighting a shift toward value‑driven adoption, the intertwined relationship with data governance, and emerging trends such as fine‑grained business governance, full‑link monitoring, integrated platforms, and DataOps.

DataOpsEnterprise Databig data
0 likes · 9 min read
Why Data Middle Platforms Are Evolving: New Trends in Data Governance and DataOps
Architects Research Society
Architects Research Society
Mar 8, 2023 · Big Data

Understanding DataOps: Principles, Benefits, and Implementation

DataOps, rooted in agile and DevOps philosophies, uses automation and collaborative practices to streamline data processing, improve quality, and align analytics with business goals, offering continuous analytics, faster insights, and breaking data silos for better decision‑making across organizations.

Continuous AnalyticsDataOpsDevOps
0 likes · 10 min read
Understanding DataOps: Principles, Benefits, and Implementation
GuanYuan Data Tech Team
GuanYuan Data Tech Team
Feb 16, 2023 · Big Data

How the Modern Data Stack Transforms BI & AI: From Legacy Warehouses to Cloud‑Native Analytics

This article traces the evolution of the modern data stack, explaining the shortcomings of traditional data warehouses, the rise of cloud‑native ELT, self‑service analytics, analytics‑as‑software, and enhanced decision intelligence, while highlighting emerging trends and practical implementations.

AnalyticsBICloud Data Warehouse
0 likes · 15 min read
How the Modern Data Stack Transforms BI & AI: From Legacy Warehouses to Cloud‑Native Analytics
DataFunSummit
DataFunSummit
Jan 30, 2023 · Big Data

Evolution of the Modern Data Stack: From Traditional Data Warehouses to BI+AI Self‑Service Analytics

This article traces the origins and evolution of the modern data stack, explains the shortcomings of traditional data warehouses, describes how cloud‑native ELT, modular components and analytics‑as‑software enable self‑service BI and AI, and outlines emerging trends such as DataOps, enhanced analytics and decision intelligence.

AIAnalyticsBI
0 likes · 15 min read
Evolution of the Modern Data Stack: From Traditional Data Warehouses to BI+AI Self‑Service Analytics
Efficient Ops
Efficient Ops
Jan 16, 2023 · Operations

How Zhejiang Mobile Built a DataOps‑Powered Anti‑Fraud Platform to Lead the Telecom Industry

Zhejiang Mobile leveraged DataOps principles to create a unified, micro‑service‑based anti‑fraud platform that integrates multi‑source telecom data, improves data governance and development efficiency, and achieved top‑level evaluation, showcasing a scalable solution for combating sophisticated telecom scams.

DataOpsPlatform Architecturecase study
0 likes · 7 min read
How Zhejiang Mobile Built a DataOps‑Powered Anti‑Fraud Platform to Lead the Telecom Industry
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jan 12, 2023 · Operations

What Is DataOps and How Can It Transform Your Data Management?

DataOps, the data‑centric counterpart of DevOps, combines agile principles, standardized tools, and cross‑team collaboration to manage the full data lifecycle—from integration and development to storage, governance, and service—enabling organizations to handle massive, diverse datasets efficiently, reduce silos, and turn data into actionable value.

Data IntegrationDataOpsbig data
0 likes · 15 min read
What Is DataOps and How Can It Transform Your Data Management?
ByteDance Data Platform
ByteDance Data Platform
Dec 28, 2022 · Big Data

How Cloud Data Warehouses Are Shaping the Future of Big Data and DataOps

This article examines the four‑stage evolution of data warehouses, highlights the cost‑effective, scalable advantages of cloud‑native warehouses, explores the rapid growth of data‑management infrastructure, and discusses the emerging practices of DataOps and AI integration that are redefining modern data stacks.

AIDataOpsbig data
0 likes · 15 min read
How Cloud Data Warehouses Are Shaping the Future of Big Data and DataOps
DataFunSummit
DataFunSummit
Dec 24, 2022 · Operations

Understanding DataOps: Evolution, Technology Stacks, and Industry Applications

This article explores DataOps from its historical evolution through the digital 3.0 era, outlines its core technology stacks such as Data Fabric, Data Mesh, and Modern Data Stack, and demonstrates practical applications across finance, manufacturing, telecom, and public services, highlighting its role in agile, cloud‑native data management.

DataOpsbig datadata governance
0 likes · 18 min read
Understanding DataOps: Evolution, Technology Stacks, and Industry Applications
DataFunSummit
DataFunSummit
Dec 7, 2022 · Big Data

Modern Data Governance at NetEase DataFan: Evolution, Challenges, and Solutions

This article details NetEase DataFan's journey in building a full‑stack big‑data platform, explains the design‑first data‑mid‑platform approach, analyzes cost, quality, and security problems encountered, and presents the modern data‑governance framework that integrates development, governance, and consumption into a closed loop.

Cost ManagementDataOpsbig data
0 likes · 22 min read
Modern Data Governance at NetEase DataFan: Evolution, Challenges, and Solutions
DataFunSummit
DataFunSummit
Nov 11, 2022 · Big Data

Tencent Oula Data Governance Platform: Architecture, Practices, and Solutions

The article presents an in‑depth overview of Tencent's Oula data governance platform, describing its construction goals, core capabilities, DataOps‑driven development workflow, unified metric store, data map services, and practical Q&A on asset health scoring and data lineage, illustrating a comprehensive end‑to‑end big‑data governance solution.

DataOpsTencentbig data platform
0 likes · 17 min read
Tencent Oula Data Governance Platform: Architecture, Practices, and Solutions
DataFunTalk
DataFunTalk
Nov 2, 2022 · Big Data

Tencent Oula Data Governance Platform: Architecture, Practices, and Solutions

Tencent's Oula platform, launched in 2019, provides a DataOps‑driven, end‑to‑end data governance solution covering data discovery, asset factory, metric platform, and governance engine, and the talk details its construction goals, data development governance, unified metric system, data map, and Q&A on asset health and lineage.

DataOpsMetric Platformdata platform
0 likes · 17 min read
Tencent Oula Data Governance Platform: Architecture, Practices, and Solutions
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.

DataOpsbig datadata governance
0 likes · 12 min read
Understanding DataOps: Concepts, Standards, and Enterprise Practices
DataFunSummit
DataFunSummit
Sep 12, 2022 · Big Data

DataFun Summit 2022: Data Integration Platform – SeaTunnel V2 Architecture Evolution and DataOps Practices

The DataFun Summit 2022, held on September 17, gathered leading experts from Baiji Whale Open Source, NetEase, Tapdata, and Alibaba Cloud to share deep technical insights on SeaTunnel V2 architecture, DataOps implementations, and open‑source big‑data studio tools, offering attendees practical guidance for modern data platforms.

ApacheDataOpsSeaTunnel
0 likes · 8 min read
DataFun Summit 2022: Data Integration Platform – SeaTunnel V2 Architecture Evolution and DataOps Practices
Efficient Ops
Efficient Ops
Aug 9, 2022 · Operations

How ICBC Accelerated Digital Transformation with XOps: From DevOps to MLOps

ICBC’s software development center outlines its multi‑year journey adopting XOps practices—DevOps, DevSecOps, DataOps, MLOps, AIOps, ChatOps and BizDevOps—to boost development efficiency, enhance security, accelerate data‑driven AI, and cut costs, showcasing measurable improvements in release frequency, defect rates, and operational automation.

AIOpsDataOpsDevOps
0 likes · 13 min read
How ICBC Accelerated Digital Transformation with XOps: From DevOps to MLOps
DataFunSummit
DataFunSummit
Jul 15, 2022 · Big Data

Apache DolphinScheduler Practice at Xinwang Bank

Xinwang Bank leverages Apache DolphinScheduler to handle over 9,000 daily task instances across real‑time, near‑real‑time, and offline batch scenarios, detailing background, application scenarios, optimizations, workflow improvements, import/export enhancements, alert system upgrades, and future plans to expand data‑ops capabilities.

Apache DolphinSchedulerDataOpsTask Optimization
0 likes · 13 min read
Apache DolphinScheduler Practice at Xinwang Bank
DataFunTalk
DataFunTalk
Feb 23, 2022 · Big Data

NetEase Data Platform DataOps Practices for Improving Data Quality

This article details how NetEase's DataFunTalk presentation explores the growing data quality challenges in data development and demonstrates the application of DataOps principles—including pre‑ and post‑control mechanisms, sandbox environments, and automated governance tools—to systematically reduce defects, optimize resources, and ensure reliable data delivery across the company's diverse business lines.

DataOpsbig datadata platform
0 likes · 14 min read
NetEase Data Platform DataOps Practices for Improving Data Quality
21CTO
21CTO
Oct 18, 2021 · Operations

What Emerging IT Roles Will Shape the Future of Tech?

The article surveys rapidly growing IT positions—from quantum computing engineers and security‑compliance managers to big‑data, analytics, and DataOps engineers—explaining how these roles combine advanced technologies, regulatory expertise, and operational practices to drive business transformation and meet the evolving demands of digital enterprises.

CloudOpsDataOpsEmerging roles
0 likes · 9 min read
What Emerging IT Roles Will Shape the Future of Tech?
DevOps
DevOps
Feb 9, 2021 · Operations

Choosing Between DataOps, MLOps, and AIOps: A Guide for Data Teams

The article examines how data teams can select the appropriate Ops framework—DataOps, MLOps, or AIOps—by comparing their origins, principles, responsibilities, and tooling, and stresses that cultural principles outweigh technology choices for efficient delivery of data and machine‑learning products.

AIOpsDataOpsDevOps
0 likes · 12 min read
Choosing Between DataOps, MLOps, and AIOps: A Guide for Data Teams
Architects Research Society
Architects Research Society
Sep 29, 2020 · Big Data

Understanding DataOps: Principles, Benefits, and Implementation

DataOps, an Agile‑derived methodology that extends DevOps principles to data analytics, emphasizes automation, collaboration, and continuous delivery to accelerate and improve data processing, quality, and business insight, while outlining its benefits, relationship to Agile/DevOps, and practical steps for adoption.

AgileContinuous AnalyticsDataOps
0 likes · 12 min read
Understanding DataOps: Principles, Benefits, and Implementation
Efficient Ops
Efficient Ops
Sep 25, 2020 · Operations

What Made the 2020 GOPS Shenzhen Conference a DevOps Milestone?

The 2020 GOPS Global Operations Conference in Shenzhen showcased a series of high‑impact DevOps talks, standards releases, enterprise assessments, and collaborative initiatives that highlighted the evolving landscape of cloud, data, and operational excellence across leading Chinese tech organizations.

AIOpsDataOpsDevOps
0 likes · 10 min read
What Made the 2020 GOPS Shenzhen Conference a DevOps Milestone?
Efficient Ops
Efficient Ops
Dec 26, 2018 · Operations

From Manual Ops to AIOps: Real‑World DataOps Practices at Alibaba

This talk walks through the evolution from manual to automated operations, outlines Alibaba’s integrated operations platform architecture, showcases practical DataOps implementations, and explores AIOps applications such as self‑healing monitoring, hardware remediation, and resource optimization, offering concrete examples and insights for modern ops engineers.

AIOpsDataOpsplatform engineering
0 likes · 16 min read
From Manual Ops to AIOps: Real‑World DataOps Practices at Alibaba
Efficient Ops
Efficient Ops
Aug 29, 2018 · Big Data

How DataOps and Linear Programming Optimize MaxCompute Capacity Management

This article explains how Alibaba's MaxCompute platform tackles capacity bottlenecks by combining data‑driven insights, linear programming, and automated project migration strategies to predict resource needs, optimize cluster allocation, and quantify migration impacts for improved operational efficiency.

DataOpsLinear ProgrammingMaxCompute
0 likes · 13 min read
How DataOps and Linear Programming Optimize MaxCompute Capacity Management