May 2025
Intermediate to advanced
106 pages
56m
Chinese
Overview
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"提取、转换、加载"（ETL）是数据应用的核心，从商业智能到人工智能，无处不在。数据环境的近期变革——包括湖仓架构的兴起和对大规模实时数据需求的增长——意味着当今的数据从业者必须以全新的视角审视ETL。
本技术指南为数据工程师、工程经理和架构师提供了现代ETL流程的概述，以及您可能面临的挑战和有助于克服这些挑战的战略模式。您将能够在实施ETL时做出明智的决策，并选择能够帮助您成功的技术栈。
- 探索数据湖屋时代ETL的全新面貌
- 学习如何处理实时数据
- 探索低代码ETL工具
- 理解如何最佳实现规模、性能和可观察性
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