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Data Mesh

18 articles · Page 1 of 1
TechVision Expert Circle
TechVision Expert Circle
May 3, 2026 · Industry Insights

When Data Shifts to Business and AI to Platforms, What Remains for the CIO?

The article analyzes how data ownership and AI services are moving to business units and platform layers, stripping CIOs of traditional control, and outlines the four irreplaceable governance roles—security, architecture standards, FinOps, and integration—plus a three‑layer implementation framework and concrete actions for 2026.

AI governanceCIOData Mesh
0 likes · 13 min read
When Data Shifts to Business and AI to Platforms, What Remains for the CIO?
Alibaba Cloud Native
Alibaba Cloud Native
Apr 2, 2026 · Industry Insights

How EventHouse Redefines AI‑Native Event Data Platforms for the Agent Era

EventHouse, Alibaba Cloud’s AI‑native data platform, unifies event ingestion, storage, governance and intelligent analysis through a layered architecture that supports real‑time SQL, zero‑ETL federation and Luma Agent‑driven conversational analytics, positioning it as a next‑generation AI data foundation for enterprises seeking to turn event streams into actionable insights.

AI Data PlatformCloud NativeData Mesh
0 likes · 16 min read
How EventHouse Redefines AI‑Native Event Data Platforms for the Agent Era
TechVision Expert Circle
TechVision Expert Circle
Mar 17, 2026 · Industry Insights

How Leading CTOs Build an End-to-End Data Pipeline from Collection to AI‑Driven Insight

The article outlines a full‑stack data architecture for 2026, covering edge‑preprocessed collection, unified observability with OpenTelemetry, CDC‑based real‑time sync, a Kafka‑Flink‑Iceberg processing stack, Data Mesh governance, and AI‑Agent powered insight, while offering practical adoption paths and pitfalls to avoid.

AI AgentCDCData Mesh
0 likes · 14 min read
How Leading CTOs Build an End-to-End Data Pipeline from Collection to AI‑Driven Insight
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 Governance
0 likes · 14 min read
Metadata‑Driven Data Governance: Concepts, Architectures, and Practices
Architects Research Society
Architects Research Society
Sep 26, 2023 · Big Data

From a Single Data Lake to a Decentralized Data Mesh: A Step‑by‑Step Migration Guide

This article explains why traditional centralized data lakes hinder modern software development, introduces the data‑mesh concept as a decentralized alternative, and walks through an e‑commerce microservice example with concrete steps, data‑API designs, and migration tactics to transition from a monolithic lake to a distributed data mesh.

Data LakeData MeshData Product
0 likes · 22 min read
From a Single Data Lake to a Decentralized Data Mesh: A Step‑by‑Step Migration Guide
Architects Research Society
Architects Research Society
Aug 5, 2023 · Big Data

Getting Started with Data Mesh: A Quick‑Start Guide

This guide introduces the data mesh architecture, explains its domain‑driven, self‑serve principles, outlines why modern data‑driven organizations need it, and provides a curated reading list and practical resources to help teams begin building a distributed data platform.

Data MeshDistributed Architecture
0 likes · 9 min read
Getting Started with Data Mesh: A Quick‑Start Guide
Architects Research Society
Architects Research Society
Jun 24, 2023 · Big Data

Why Enterprise Data Architects Should Build Distributed Data Meshes Instead of Large Centralized Platforms

The article argues that traditional centralized data warehouses and lakes are increasingly unsustainable for large enterprises and proposes a paradigm shift to a distributed data mesh architecture that emphasizes domain‑owned data products, discoverability, interoperability, and global governance to overcome inherent inefficiencies.

Data MeshDistributed Architecturedata platform
0 likes · 6 min read
Why Enterprise Data Architects Should Build Distributed Data Meshes Instead of Large Centralized Platforms
DataFunSummit
DataFunSummit
Apr 8, 2023 · Big Data

DataCake: A Multi‑Cloud Self‑Service Big Data Platform from SHAREit Group

The article introduces DataCake, a cloud‑native, multi‑cloud big data platform built by SHAREit Group that addresses massive data volume, diverse application scenarios, and governance challenges through a Data Mesh‑inspired self‑service architecture, offering unified data management, intelligent governance, and a roadmap for future enhancements.

Data GovernanceData MeshMulti-Cloud
0 likes · 10 min read
DataCake: A Multi‑Cloud Self‑Service Big Data Platform from SHAREit Group
Past Memory Big Data
Past Memory Big Data
Jul 22, 2022 · Big Data

Choosing Modern Data Architecture: Data Fabric vs. Data Mesh

The article compares Data Fabric and Data Mesh as modern data‑architecture approaches, explains their technical and organizational differences, discusses the ongoing debate between data lakes, warehouses, and lakehouses, and highlights how each option fits varying data‑type and usage scenarios.

Data FabricData LakeData Mesh
0 likes · 4 min read
Choosing Modern Data Architecture: Data Fabric vs. Data Mesh
Architects Research Society
Architects Research Society
Jun 30, 2022 · Big Data

Beyond Monolithic Data Lakes: Embracing a Distributed Data Mesh Architecture

The article examines why traditional centralized data lake architectures fail at scale, outlines common failure patterns, and proposes a paradigm shift toward a distributed data mesh that treats domain‑oriented data as a product, leverages self‑service platforms, and aligns engineering, product, and governance practices for modern enterprise data platforms.

Data MeshData ProductDistributed Architecture
0 likes · 33 min read
Beyond Monolithic Data Lakes: Embracing a Distributed Data Mesh Architecture
Architects Research Society
Architects Research Society
Apr 6, 2022 · Big Data

Why Enterprise Data Architects Should Build Distributed Data Meshes Instead of Centralized Data Platforms

Zhamak Dehghani argues that enterprise data architects should replace centralized data warehouses and lakes with a distributed data mesh that leverages domain‑owned data products, addressing scalability, coupling, and ownership failures through a paradigm shift toward self‑serve, discoverable, and interoperable data components.

Data MeshDistributed Architecturedata platform
0 likes · 7 min read
Why Enterprise Data Architects Should Build Distributed Data Meshes Instead of Centralized Data Platforms
Architects Research Society
Architects Research Society
Jul 10, 2021 · Fundamentals

Key Software Architecture Trends for 2020: Micro Frontends, AsyncAPI, Data Mesh, Policy as Code, Serverless, Low‑Code, GraphQL and Ethics

The article surveys the most significant software‑architecture trends of 2020—including micro frontends, AsyncAPI, data mesh, policy‑as‑code, serverless, low‑code platforms, GraphQL, and ethical considerations—highlighting their adoption status, challenges, and the viewpoints of leading industry experts.

Data MeshLow-codeMicro Frontends
0 likes · 16 min read
Key Software Architecture Trends for 2020: Micro Frontends, AsyncAPI, Data Mesh, Policy as Code, Serverless, Low‑Code, GraphQL and Ethics
Architects Research Society
Architects Research Society
May 9, 2020 · Fundamentals

Key Software Architecture Trends for 2020: Micro Frontends, AsyncAPI, Data Mesh, Policy as Code, Serverless, Low‑Code, and More

The article surveys the most significant software‑architecture trends of 2020—including micro frontends, AsyncAPI, data mesh, policy‑as‑code, serverless, low‑code/no‑code, and GraphQL—highlighting expert opinions, adoption status, and the ethical considerations shaping modern distributed systems.

Data MeshGraphQLLow-code
0 likes · 14 min read
Key Software Architecture Trends for 2020: Micro Frontends, AsyncAPI, Data Mesh, Policy as Code, Serverless, Low‑Code, and More