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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mastering-analytical-data-lake-amazon-s3-tables/
课程评论：没有评论
课程名称：掌握分析型数据湖：Amazon S3 表（新） 课程概述： 本课程旨在帮助数据工程师、分析师和云专业人员深入掌握Amazon S3 Tables这一新特性，从而开启下一代数据湖分析的潜力。通过实践演示、实际案例和操作指南，您将学习如何利用S3 Tables实现高性能的事务性分析，成功弥合了对象存储与现代分析引擎之间的差距。 学习内容： 1. **S3 Tables基础**：了解Amazon S3 Tables的定义、与传统S3存储的区别及其对现代分析工作负载的重要性。 2. **架构与操作**：深入探讨S3 Tables的桶架构、核心组件、API及CLI操作，掌握无缝的表管理技巧。 3. **基于Iceberg的事务性数据湖**：探索Apache Iceberg在支持ACID事务、元数据管理和数据压缩中的应用，确保分析的可靠性与可扩展性。 4. **使用Athena进行CRUD操作**：通过Amazon Athena进行S3 Tables的创建、更新和删除操作，并掌握命名空间和表的管理。 5. **Lake Formation集成**：学习如何使用AWS Lake Formation保护和管理S3 Tables，实现企业级的访问控制和目录管理。 6. **分析工具集成**：将S3 Tables连接至AWS Glue、SageMaker Lakehouse和Amazon QuickSight，实现强大的ETL、机器学习和商业智能工作流。 7. **流数据管道**：使用AWS Kinesis将实时数据导入S3 Tables，开启流数据集的即时分析。 8. **安全性、定价及最佳实践**：掌握资源基础政策、理解定价模型，并应用大规模部署的扩展策略。 适合人群： - 熟悉AWS基础的数据库工程师、分析师及架构师，希望现代化数据湖架构。 - 评估S3 Tables在分析、治理或流媒体用例中的应用的云专业人员和解决方案架构师。 - 希望获得S3 Tables与AWS分析生态系统集成的实践经验的任何人。
Unlock the next generation of data lake analytics with Amazon S3 Tables. This comprehensive course is designed for data engineers, analysts, and cloud professionals seeking to master the new S3 Tables feature-distinct from standard Amazon S3 storage. Through hands-on demos, real-world scenarios, and practical integration guides, you'll learn how S3 Tables enable high-performance, transactional analytics directly on your data lake, bridging the gap between object storage and modern analytics engines.What You'll LearnFoundations of S3 Tables: Understand what Amazon S3 Tables are, how they differ from traditional S3 buckets, and why they matter for modern analytics workloads.Architecture & Operations: Dive into S3 Table bucket architecture, core components, APIs, and CLI operations for seamless table management.Transactional Data Lakes with Iceberg: Explore Apache Iceberg's role in enabling ACID transactions, metadata management, and data compaction for reliable, scalable analytics.Hands-On CRUD with Athena: Practice creating, updating, and deleting S3 Tables using Amazon Athena, including namespace and table management.Lake Formation Integration: Learn how to secure and govern your S3 Tables with AWS Lake Formation, enabling enterprise-grade access controls and cataloging.Analytics Tool Integrations: Connect S3 Tables to AWS Glue, SageMaker Lakehouse, and Amazon QuickSight for powerful ETL, machine learning, and BI workflows.Streaming Data Pipelines: Ingest real-time data into S3 Tables using AWS Kinesis, unlocking up-to-date analytics on streaming datasets.Security, Pricing, and Best Practices: Master resource-based policies, understand pricing models, and apply scaling strategies for large-scale deployments.Who Should Take This Course?Data engineers, analysts, and architects familiar with AWS basics and looking to modernize their data lake architecturesCloud professionals and solution architects evaluating S3 Tables for analytics, governance, or streaming use casesAnyone seeking hands-on experience integrating S3 Tables with AWS's analytics ecosystem
