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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-engineering-101-the-beginners-guide/
课程评论:没有评论
课程名称:数据工程101:初学者指南 课程概述: 掌握现代数据工程基础。你是否对数据工程感到好奇却不知道从何入手?你是一名软件工程师、数据科学家或数据分析师,希望深入了解现代数据工程吗?本课程旨在揭开这一领域的复杂性,为你提供坚实的现代数据工程基础。课程专为初学者设计,清晰简洁地介绍现代数据工程所需的基本概念和工具。 你将学到的内容: - 数据工程的定义:理解数据管道的核心概念及数据工程在数据团队中的角色。 - 端到端数据管道:探索数据生成、存储、摄取、转换和服务的每个部分,了解数据如何从产生到消费流动。 - 关键数据工程概念:学习数据工程中最重要的概念,如数据仓库与数据湖,行存储与列存储,ELT与ETL等。 - 现代数据工程工具介绍:了解如何使用现代数据工具(如Dagster、Trino、DBT和Apache Iceberg)构建端到端数据管道。 - 现代数据架构示例:获得数据工程师使用的工具和技术的坚实介绍,以架构四种最常见用例的端到端现代数据管道:商业分析、流媒体、机器学习和深度学习。 适合人群: - 对于希望在数据工程领域发展职业生涯的初学者。 - 数据科学家或数据分析师等数据专业人士,希望理解现代数据工程基本原理。 - 任何想了解数据工程在数据驱动企业中扮演角色的人。 为什么选择本课程? 本课程旨在优雅地引导你进入数据工程领域。通过将数据工程分解为数据管道的清晰部分,你将能够直观理解数据工程的本质。完成课程后,你将清楚理解数据工程的概念,并为进一步探索更高级的主题或实际构建现代数据堆栈打下坚实基础。 本课程的重点说明: 在参加本课程之前,请务必了解本课程不包括的内容。本课程并不是一个教程。如果你期待学习如何设置和使用Spark或Airflow工具,或编写SQL语句,那么这并不是你需要的课程。本课程中没有Docker设置、工具安装和编程。如果你在寻找这种教程课程,可以查看我们的更高级数据工程课程,我们将带你逐步构建使用前沿开源工具的端到端数据管道。 加入我们,开始探索数据工程基础的激动人心的旅程。无论你计划转行还是希望拓宽技术视野,本课程都将为你提供成功所需的知识与工具。准备好改变你对数据的看法吗?加入课程,让我们开始吧!
Master Modern Data Engineering FundamentalsAre you curious about data engineering but unsure where to start?Are you a software engineer, data scientist, or data analyst who wants to learn more about modern data engineering?Dive into our intro course where we demystify the complexities of the field and give you a solid foundation in modern data engineering.This course is tailored specifically for those who are new to the field, providing a clear and concise introduction to the essential concepts and tools used in modern data engineering today.What You'll Learn:What Exactly Is Data Engineering? Understand the core concept of data pipelines and the role of data engineering in a wider data team.End-to-end data pipeline: Explore each part of the end-to-end data pipeline from data generation, storage, ingestion, transformation, and serving. Learn how data flows from creation to consumption.Critical Data Engineering Concepts: Learn the most important concepts in data engineering, such as data warehouse vs data lakehouse, row-based vs column-based data stores, ELT vs ETL and more.Introduction to Modern Data Engineering Tools: See how modern data tools like Dagster, Trino, DBT, and Apache Iceberg are used to build out the end-to-end data pipelines.Modern Data Stack Architecture Examples: Get a solid introduction to the tools and technologies that data engineers use to architect end-to-end modern data pipelines for the four most common use cases: 1) Business analytics, 2) Streaming, 3) ML, and 4) Deep Learning.Who Should Take This Course:Beginners curious about building a career in data engineering.Data professionals like Data Scientists or Data Analysts seeking to understand the fundamentals of modern data engineering.Anyone who wants to learn about what role Data Engineering plays in data-driven businesses.Why Take This Course?This course is designed as a gentle introduction to the field of data engineering. It breaks down data engineering into clear sections within a data pipeline so you can see what data engineering is all about.You will leave with a clear understanding of what data engineering is and a solid foundation to further explore more advanced topics or actually build out the modern data stack.What This Course Is NOT:Before you take this course, you should know what this course is NOT. This course is NOT a tutorial. So if you're expecting to learn about how to set up and use tools like Spark or Airflow, or write SQL statements, this is not the course for you.There's no docker setup, there's no tool installations, and there's no coding.If you're looking for that kind of tutorial course, take a look at our more advanced data engineering courses where we walk you through how to actually build end-to-end data pipelines using cutting-edge open-source tools.Join us on this exciting journey to discover the fundamentals of data engineering. Whether you're planning a career shift or just looking to broaden your technological horizons, this course will provide you with the knowledge and tools you need to succeed.Ready to transform the way you see data? Join the course and let's get started!