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日本語(JA) Data Lake、Lakehouse、Iceberg、RDBMSをレイヤーで整理してみてみた ～Data CatalogからAI時代のData & AI Platformへ～ https:// qiita.com/shirok/items/04aecee 018da54b1b578?utm_campaign=popu

Organizing Data Layers: From Data Catalog to AI Platform

By PulseAugur Editorial · [1 sources] ·

This article explores the organization of data management technologies, including Data Lakes, Lakehouses, Iceberg, and RDBMS, into distinct layers. It aims to provide a framework for understanding these components, moving from a Data Catalog perspective towards a comprehensive Data & AI Platform suitable for the age of artificial intelligence. AI

IMPACT Provides a structured approach to data management, potentially improving efficiency for AI development and deployment.

RANK_REASON The item is a technical blog post discussing data architecture concepts, not a primary release or significant industry event.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Organizing Data Layers: From Data Catalog to AI Platform

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Commentary
The item is a technical blog post discussing data architecture concepts, not a primary release or significant industry event.
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45 days old
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 日本語(JA) · [email protected] ·

    Organizing Data Lakes, Lakehouses, Iceberg, and RDBMS by Layer ~Towards a Data & AI Platform for the AI Era~

    Data Lake、Lakehouse、Iceberg、RDBMSをレイヤーで整理してみてみた ～Data CatalogからAI時代のData & AI Platformへ～ https:// qiita.com/shirok/items/04aecee 018da54b1b578?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items # qiita # RDBMS # AI # DataLake # iceberg # Lakehouse

    LINKS qiita.com/…/04aecee018da54b1b578

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