Name: Databricks Lakehouse 平臺入門介紹！ (Intro to Databricks Lakehouse Platform)
Uploaded: 2025-12-24T22:22:08.000Z
Duration: 3 min 37 s

What is the Databricks Lakehouse Platform?

Databricks and the Databricks Lakehouse Platform in this video you'll learn about Databricks and the Databricks Lakehouse platform.

Databricks 和 Databricks Lakehouse 平臺：這支影片會帶大家認識 Databricks 和 Databricks Lakehouse 平臺。

You'll also learn how to define the Databricks Lakehouse platform, give examples of how to solve big data challenges, and

你也會學到 Databricks Lakehouse 平臺的定義，並舉例說明如何解決大數據挑戰，以及

describe how it benefits data practitioners.

Databricks was founded in 2013 by the original creators of Apache, Spark, Delta Lake and mlflow.

Databricks 由 Apache、Spark、Delta Lake 和 mlflow 的創始團隊於 2013 年創立。

As the world's first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.

作為全球第一個也是唯一的雲端 lakehouse 平臺，Databricks 結合了資料倉儲和資料湖的優點，提供一個開放且統一的資料與 AI 平臺。

Databricks is the inventor and pioneer of the Data Lakehouse architecture, coining the term in the research paper Lakehouse a new generation of Open Platforms that unify Data Warehousing and advanced Analytics.

Databricks 是 Data Lakehouse 架構的發明者與先驅，在研究論文 Lakehouse：新一代開放平臺，整合資料倉儲與進階分析 中創造了這個詞。

Co authored by The Databricks founders, UC Berkeley and Stanford University in 2021, the Lakehouse Paradigm is designed as the ideal data and AI platform for all data types that is open with a single security and governance model.

這篇由 Databricks 創始人、加州大學柏克萊分校和史丹佛大學於 2021 年共同撰寫的 Lakehouse 範式，被設計為適用於所有資料類型、開放且具備單一安全與治理模型的理想資料與 AI 平臺。

Not only is it designed to manage all data types, but

it is cloud agnostic so data can be governed wherever it is stored.

而且不受雲端限制，讓資料可以在任何儲存位置進行治理。

Because its purpose is to support all major data and AI workloads, teams can easily collaborate and access all the data they need to keep innovating and improving.

由於它的目標是支援所有主要的資料與 AI 工作負載，團隊可以輕鬆協作，並存取他們所需的所有資料，以持續創新和改進。

All of these architectural features are realized on the Databricks Lakehouse platform, including the reliability and performance of Delta Lake as the Data Lake Foundation, a fine grained governance for data and AI with unity catalog and support for Persona based use cases for all data team members.

所有這些架構功能都在 Databricks Lakehouse 平臺實現，包括 Delta Lake 作為資料湖基礎的可靠性和效能，透過 Unity Catalog 提供細緻的資料與 AI 治理，以及支援所有資料團隊成員的個人化使用案例。

The Databricks Lakehouse Platform architecture also provides instant and serverless compute which Databricks provides and manages the compute layer on behalf of the customer, combining the best elements of data warehouses such as reliability, governance and performance with the openness and flexibility and machine learning support of data lakes.

Databricks Lakehouse 平臺架構還提供即時且無伺服器的運算，由 Databricks 代表客戶提供和管理運算層，結合了資料倉儲（如可靠性、治理和效能）與資料湖的開放性、彈性和機器學習支援的最佳元素。

The Databricks Lakehouse platform is a single platform that unifies data warehousing and AI use cases.

Databricks Lakehouse 平臺是一個統一資料倉儲和 AI 使用案例的單一平臺。

This unified approach eliminates the challenges caused by previous data environments such as data silos, complicated structures and fractured governance and security structures.

這種統一的方法消除了先前資料環境帶來的挑戰，例如資料孤島、複雜的結構以及破碎的治理和安全結構。

To reiterate the benefits of the Data Lakehouse platform, first, it is simple by providing a unified platform and eliminating the complexity and expense that stands in the way of achieving the full potential of data analytics and AI initiatives.

重申 Data Lakehouse 平臺的優勢，首先，它透過提供統一的平臺來簡化，並消除阻礙實現資料分析和 AI 計劃潛力的複雜性和開銷。

It is open with a foundation on Delta Lake for reliability and performance while avoiding proprietary systems, thus making it easy to share data unrestricted.

它是開放的，以 Delta Lake 為基礎提供可靠性和效能，同時避免專有系統，是以可以輕鬆地不受限制地共用資料。

It allows you to build the ecosystem you need with open source projects and the vast network of Databricks Partners and it is multi cloud, allowing you to work on the cloud platform currently in use with a consistent management, security and governance experience.

它讓您能夠利用開源專案和龐大的 Databricks 合作夥伴網絡來建構您所需的生態系統，並且它是多雲的，讓您能夠在目前使用的雲端平臺上工作，同時享有一致的管理、安全和治理體驗。

The Databricks Lakehouse platform supports the workloads for data teams and including data warehousing, data engineering, data streaming, and

Databricks Lakehouse 平臺支援資料團隊的工作負載，包括資料倉儲、資料工程、資料串流，以及

And speaking of partners, the Databricks Lakehouse platform provides the flexibility to use your existing infrastructure, share your data and build a modern data stack with unrestricted access to open source data projects and the broad Databricks partner network, including but not limited to those shown here.

而且說到合作夥伴，Databricks Lakehouse 平臺讓您能夠靈活運用現有的基礎設施，共用您的資料，並透過不受限制地存取開源資料專案和廣泛的 Databricks 合作夥伴網絡（包括但不限於此處顯示的那些）來建構現代化的資料堆疊。