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enterprise architecture · data architecture · lakehouse

Enterprise Data Platform

This enterprise data platform diagram combines finance, operations and HR data in a shared lakehouse. A data-integration function supports the platform, while data governance makes ownership and controls visible. The lakehouse serves business-intelligence and data-science consumers. This is a useful enterprise architecture view when the goal is to align data domains and users around a common platform rather than describe the detailed pipelines, transformations or access policies.

類型 方塊圖標準 Ogata / standard controls textbook convention引擎 schematex-blockdiagram更新時間 2026/9/24
Enterprise Data Platform
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需求

“Create an enterprise data platform with finance, operations and HR systems, data integration, an enterprise lakehouse, data governance, business intelligence, and data science.”

接著試試Add a customer-data source connected to data integration.Add a data catalog connected to the enterprise lakehouse.
這張圖裡有什麼

看懂背後的決策。

01Source domains

Include finance, operations and HR systems.

02Shared foundation

Centralize curated information in a lakehouse.

03Governance

Make data stewardship visible alongside storage.

04Consumers

Serve both BI and data-science work.

Use it for enterprise data strategy and platform discovery.

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常見問題

常見問題

What is an enterprise data platform?

It is the shared set of data services that collect, govern and serve information across business domains.

Why show governance separately?

It makes accountability and controls visible rather than treating them as an implied storage feature.

Who uses a lakehouse?

Business-intelligence users, analysts, engineers and data scientists can consume governed data from it.