{
  "id": 9052998,
  "title": "Masa Depan Manajemen Data: Mengenal Konsep Data Mesh yang Revolusioner",
  "url": "https://urgent.news/2026/09/22/masa-depan-manajemen-data-mengenal-konsep-data-mesh-yang-revolusioner",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-09-22T01:22:15.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/khalifumarr/masa-depan-manajemen-data-mengenal-konsep-data-mesh-yang-revolusioner-2f90"
  },
  "original_language": "en",
  "account": "Global technology companies often face challenges in managing large-scale data due to the rapid advancement of the IT industry. While traditional approaches like Data Lakes or Data Warehouses were once commonplace, a new paradigm is gaining attention among data engineering professionals: Data Mesh. But what exactly is Data Mesh? This novel approach to data architecture and organization is fundamentally decentralized in managing analytical data.\n\nIntroduced by Zhamak Dehghani in 2019, Data Mesh represents a departure from traditional architectures that store all data in a single location (monolithic). Instead, it divides data ownership based on specific business domains. The four core principles of Data Mesh are essential to understanding its workings: Domain-oriented Ownership, Data as a Product, Self-serve Data Infrastructure, and Federated Computational Governance.\n\nDomain-oriented Ownership means that data is owned and managed by the team that best understands its context (e.g., the Marketing team manages marketing data, while the Sales team manages sales data), rather than a centralized data team. Data as a Product shifts the perspective from viewing data as raw material to seeing it as a product, necessitating high quality, easy discoverability, thorough documentation, and readiness for use by others. Self-serve Data Infrastructure provides an automated platform that allows domain teams to create, run, and manage their data products independently, without prolonged technical assistance. Federated Computational Governance involves agreed-upon global standards (such as data formats and security protocols) to ensure interoperability among data, while still granting operational freedom to each domain.\n\nFor data engineers and analysts, the shift to Data Mesh significantly reduces the heavy workload traditionally concentrated in central hubs. Engineers no longer need to serve as interpreters for each department, focusing instead on maintaining a stable platform. Analysts benefit from more accurate and relevant data, as it's managed by those who truly comprehend the underlying business processes. In conclusion, Data Mesh is not merely a technological trend; it represents a fundamental shift in thinking about how data should be managed across large organizations. By adopting decentralized principles, companies can become more agile in making data-driven decisions without being hindered by rigid architectures. Has your company already prepared to transition to the Data Mesh paradigm?",
  "summary": "Dalam dunia IT yang berkembang pesat, pengelolaan data dalam skala besar seringkali menjadi tantangan tersendiri bagi perusahaan teknologi global. Jika dulu kita terbiasa dengan pendekatan terpusat seperti Data Lake atau Data Warehouse , kini muncul sebuah paradigma baru yang sedang ramai diperbincangkan di kalangan ahli Data Engineering : Data Mesh . Apa itu Data Mesh? Data Mesh adalah sebuah…",
  "key_points": [
    "Data Mesh decentralizes data management across business domains.",
    "Introduced by Zhamak Dehghani in 2019, it replaces monolithic data storage."
  ],
  "editors_take": "The Data Mesh approach shifts data management from centralized control to decentralized domain-oriented ownership, allowing companies to become more agile in making data-driven decisions with more accurate and relevant data.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}