May 2025
Beginner to intermediate
246 pages
2h 46m
Chinese
Overview
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越来越多的组织认识到数据湖架构在从数据中提取价值方面的关键作用。然而，构建一个健壮、可扩展且高性能的数据湖仍是一项复杂的任务，因为需要多种工具和选项协同工作，以实现从数据到洞察的无缝端到端管道。
本书简明扼要地概述了云数据湖的设置、管理和治理。作者 Rukmani Gopalan 是一位产品管理领导者和数据爱好者，他指导数据架构师和工程师了解使用云数据湖的主要方面，从设计考虑因素和最佳实践到数据格式优化、性能优化、成本管理和治理。
- 了解基于云的大数据战略对您组织的优势
- 获取设计高性能且可扩展数据湖的指导与最佳实践
- 探讨架构与设计选项，以及数据治理原则与策略
- 构建一个随组织和业务需求增长而扩展的数据策略
- 在云中实施可扩展的数据湖
- 使用基于云的先进分析从数据中获得更多价值
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