Lakehouse Data Platform Technology Overview

Since the concept of ‘Lakehouse’ was first introduced in Gartner's Maturity Model report in the field of data management in 2021, it has attracted significant attention as an innovative technology in the context of enterprise digital transformation. An increasing number of enterprises are viewing ‘Lakehouse’ as a crucial infrastructure for their digital transformation. The construction of the lakehouse platform addresses challenges related to the integration of streaming and batch processing, such as atomic transactions, consistent updates, and metadata performance bottlenecks. This enables the lakehouse platform to not only fulfill short-term business needs but also to support long-term data application requirements. This paper elaborates on the development history of data platform, the evolution path of the lakehouse data platform, its implementation solutions, standardization, and future development trends.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/iucc65928.2024.00092
Citations
2
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.40
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Lakehouse Data Platform Technology Overview

Yanmei Liu, Jiafeng Tian, Xuan Jia, Xiaolu Han et al.
2 citations
Water Quality Monitoring Technologies
0.40
article

Lakehouse Data Platform Technology Overview

Yanmei Liu, Jiafeng Tian, Xuan Jia, Xiaolu Han, Shilian Yu
article en
2 citations

Abstract

Since the concept of ‘Lakehouse’ was first introduced in Gartner's Maturity Model report in the field of data management in 2021, it has attracted significant attention as an innovative technology in the context of enterprise digital transformation. An increasing number of enterprises are viewing ‘Lakehouse’ as a crucial infrastructure for their digital transformation. The construction of the lakehouse platform addresses challenges related to the integration of streaming and batch processing, such as atomic transactions, consistent updates, and metadata performance bottlenecks. This enables the lakehouse platform to not only fulfill short-term business needs but also to support long-term data application requirements. This paper elaborates on the development history of data platform, the evolution path of the lakehouse data platform, its implementation solutions, standardization, and future development trends.

China Academy of Information and Communications Technology (CN)
Openalex Percentile: Top 36%
Water Quality Monitoring Technologies
0.40
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