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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-architecture-for-data-engineers/
课程评论：没有评论
课程名称：数据工程师的数据架构：实用方法 课程概述：解锁数据架构的潜力，通过“数据工程师的数据架构：实用方法”课程，为数据工程师、有志成为数据架构师的专业人士和分析人员奠定坚实的基础，以创建可扩展、高效且与战略目标相一致的数据解决方案。在本课程中，您将探索传统与现代的数据架构，包括数据仓库、数据湖，以及新兴的数据湖仓库方法。您将学习分布式和基于云的架构及其实际应用，以满足不同的数据需求。我们将涵盖数据建模、治理和安全等关键方面，重点介绍可在现实世界中实施的实用技术。 从基础原则开始，包括数据质量、可扩展性、安全性和成本效率，我们将引导您设计稳健的数据管道，了解ETL与ELT过程，及整合批处理和实时数据处理。课程专门设有关于AWS、Azure及混合/多云架构的部分，让您获得利用云工具实现可扩展数据解决方案的实践经验。 此课程还为您职业转型做好准备，提供技能、认证和成为数据架构师所需步骤的指导。通过案例研究、测验和现实生活中的示例，您将具备做出战略性架构决策和在各行业中应用最佳实践的能力。最终，您将掌握一整套工具，以设计和实施与业务目标及新兴数据需求相一致的高效数据架构。
Unlock the potential of data architecture with Data Architecture for Data Engineers: Practical Approaches. This course is designed to give data engineers, aspiring data architects, and analytics professionals a solid foundation in creating scalable, efficient, and strategically aligned data solutions.In this course, you'll explore both traditional and modern data architectures, including data warehouses, data lakes, and the emerging data lakehouse approach. You'll learn about distributed and cloud-based architectures, along with practical applications of each to suit different data needs. We cover key aspects like data modeling, governance, and security, with emphasis on practical techniques for real-world implementation.Starting with the foundational principles-data quality, scalability, security, and cost efficiency-we'll guide you through designing robust data pipelines, understanding ETL vs. ELT processes, and integrating batch and real-time data processing. With dedicated sections on AWS, Azure, and hybrid/multi-cloud architectures, you'll gain hands-on insights into leveraging cloud tools for scalable data solutions.This course also prepares you for a career transition, offering guidance on skills, certifications, and steps toward becoming a data architect. Through case studies, quizzes, and real-world examples, you'll be equipped to make strategic architectural decisions and apply best practices across industries. By the end, you'll have a comprehensive toolkit to design and implement efficient data architectures that align with business goals and emerging data needs.
