Lakehouse: Difference between revisions

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An architectural pattern used to implement access to data that is based on open direct-access data formats (such as Apache Parquet and ORC), has support for machine learning and data science and offers state-of-the-art performance. It is based on the concept of [[Data Lake]].
An architectural pattern used to implement access to data that is based on open direct-access data formats (such as Apache Parquet and ORC), has support for machine learning and data science and offers state-of-the-art performance. It is based on the concept of [[Data Lake]].


[File:Lakehouse.png]]
[[File:Lakehouse.png]]


=Related Concepts=
=Related Concepts=
[[Data Warehouse]]. Schema-on-write. Business Intelligence (BI).  Unstructured data. [[Data Lake]]. Schema-on-read. ETL.
[[Data Warehouse]]. Schema-on-write. Business Intelligence (BI).  Unstructured data. [[Data Lake]]. Schema-on-read. ETL.

Revision as of 21:02, 1 May 2023

External

Internal

Overview

An architectural pattern used to implement access to data that is based on open direct-access data formats (such as Apache Parquet and ORC), has support for machine learning and data science and offers state-of-the-art performance. It is based on the concept of Data Lake.

Lakehouse.png

Related Concepts

Data Warehouse. Schema-on-write. Business Intelligence (BI). Unstructured data. Data Lake. Schema-on-read. ETL.