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所在平台: Udemy |
课程主页: https://www.udemy.com/course/aws-glue-mastery-6-interview-practice-tests/
课程评论：没有评论
课程名称：AWS Glue 精通：6 次面试实践测试 课程概述：通过这门综合性实践课程，您将自信地掌握 AWS Glue，为真实世界的面试和数据工程、基于云的 ETL 工作角色做好准备。《AWS Glue 精通：6 次面试实践测试》提供了对 AWS Glue 概念的深入覆盖，包含与行业期望相一致的情境性和概念性问题。课程由六个全面的实践测试构成，每个测试旨在巩固您对 AWS Glue 架构、功能和集成的理解。 您将探讨 Glue 的无服务器 ETL 框架和数据目录管理，构建复杂的工作流，并保障数据湖的安全性。测试内容评估您对 Glue 作业、触发器、数据转换及性能优化策略的知识，确保您具备求职所需的准备。无论您是在为一场面试做准备，还是希望提高实际操作技能，这门课程都将帮助您清晰而自信地评估和增强您对 AWS Glue 的专业知识。 您将学习到的内容包括： - AWS Glue 无服务器数据集成服务的核心功能和益处 - 数据目录、爬虫、作业和触发器等组件 - 配置 Glue 资源、IAM 权限和 S3 设置 - 使用 Glue 数据目录创建和管理元数据 - 与 S3、Redshift、Athena 和 DynamoDB 等服务的数据集成 - 编写和管理基于 Python/Scala 的 ETL 作业 - 使用 DynamicFrames 和自定义函数转换数据 - 通过触发器和条件分支进行工作流编排 - 使用 IAM 和 Lake Formation 进行安全、加密和访问控制 - 构建和查询可扩展的数据湖 - Glue 作业和爬虫的性能调优 - 实际应用案例：机器学习准备、数据仓库和流式 ETL 这门课程特别适合数据工程师、云开发人员和分析专业人员，旨在增强他们对 AWS Glue 相关角色的知识和面试准备能力。
Master AWS Glue with confidence through this comprehensive practice-based course designed to prepare you for real-world interviews and job roles in data engineering and cloud-based ETL. AWS Glue Mastery: 6 Interview Practice Tests offers in-depth coverage of AWS Glue concepts through scenario-based and conceptual questions aligned with industry expectations.This course is structured around six extensive practice tests, each crafted to solidify your understanding of AWS Glue's architecture, capabilities, and integrations. You will explore everything from Glue's serverless ETL framework and Data Catalog management to building complex workflows and securing your data lakes. The tests are tailored to assess your knowledge of Glue jobs, triggers, data transformations, and performance optimization strategies, ensuring you're job-ready.Whether you're preparing for an interview or looking to refine your hands-on skills, this course will help you evaluate and enhance your AWS Glue expertise with clarity and confidence.What You Will Cover:Core features and benefits of AWS Glue's serverless data integration serviceComponents like Data Catalog, Crawlers, Jobs, and TriggersSetting up Glue resources, IAM permissions, and S3 configurationsCreating and managing metadata with the Glue Data CatalogData integration with services like S3, Redshift, Athena, and DynamoDBWriting and managing Python/Scala-based ETL jobsTransforming data with DynamicFrames and custom functionsWorkflow orchestration using triggers and conditional branchingSecurity, encryption, and access control with IAM and Lake FormationBuilding and querying scalable data lakesPerformance tuning for Glue jobs and crawlersReal-world use cases: machine learning prep, data warehousing, and streaming ETLThis course is ideal for data engineers, cloud developers, and analytics professionals aiming to strengthen their knowledge and interview readiness for AWS Glue-related roles.
