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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-aws-data-engineering-in-hindi/
课程评论：没有评论
**课程名称：** Master AWS Data Engineering in Hindi (AWS 数据工程大师班 - 印地语) **课程概述：** 本课程是使用简单的印地语讲解的全面 AWS 数据工程课程，专为希望掌握基于云的数据工程的学员设计。无论您是完全的初学者还是希望转向数据工程领域的 IT 专业人士，本课程都将带您从基础 AWS 服务到使用 Glue、EMR 和 Airflow (MWAA) 进行的高级真实项目。 课程结束后，您将不仅获得 AWS 工具的实践经验，还能有信心构建端到端数据管道，为面试做好准备，并获得云数据行业的**高薪工作机会**。 **什么是数据工程师？** 数据工程师负责设计、构建和维护公司的数据基础设施，确保数据可用于分析和其他用途。 **您将学到什么：** * AWS S3 用于数据湖设置 * PostgreSQL 和 DynamoDB 集成 * 使用 Athena 进行无服务器查询 * Redshift、Redshift Spectrum 和联邦查询 * 使用 AWS Glue (Studio & Job Scripts) 构建 ETL 管道 * 使用 AWS Step Functions 编排数据管道 * 使用 Apache Airflow (MWAA) 进行工作流管理 * 创建可扩展的 EMR 集群以处理大数据 **真实项目：** 增量加载、ETL 自动化 **课程适合人群：** * 希望开始数据工程职业生涯的**印地语初学者** * 正在转向云数据管道的**开发人员** * 希望在真实数据工作流程中实施 AWS 的**IT 专业人员**
This comprehensive AWS Data Engineering course in Hindi is designed for learners who want to master cloud-based data engineering using AWS, explained in simple Hindi for easy understanding.Whether you're a complete beginner or an IT professional looking to shift into data engineering, this course takes you from basic AWS services to advanced real-world projects using Glue, EMR, and Airflow (MWAA).By the end of this course, you will not only have hands-on experience with AWS tools but also gain the confidence to build end-to-end data pipelines, prepare for interviews, and qualify for high-paying job roles in the cloud data industry.A data engineer designs, builds, and maintains a company's data infrastructure, ensuring that data is accessible for analysis and other uses.What you'll learn:AWS S3 for Data Lake setupPostgreSQL & DynamoDB integrationServerless querying with AthenaRedshift, Redshift Spectrum & Federated QueriesBuilding ETL Pipelines with AWS Glue (Studio & Job Scripts)Orchestrating Data Pipelines with AWS Step FunctionsApache Airflow (MWAA) for workflow managementCreating scalable EMR clusters for big data processingReal-world Projects: Incremental Loads, ETL AutomationWho is this course for?Hindi-speaking beginners who want to start a data engineering careerDevelopers transitioning to cloud data pipelinesIT professionals looking to implement AWS in real-world data workflows
