Summary and Highlights总结与要点

In this lesson, you have learned:
在本课程中，您已学习：

Data Engineering is reported to be one of the top ten jobs experiencing tremendous growth in the U.S. today. It is also reported to be one of the fastest growing tech occupations with year-over-year growth of around 50%.
据报道，数据工程是当今美国增长最快的十大职业之一。据报道，它也是增长最快的科技职业之一，年同比增长率约为 50%。

Currently, the demand for skilled data engineers far outweighs the supply, which means companies are willing to pay a premium to hire skilled data engineers.
目前，熟练数据工程师的需求远远超过供给，这意味着公司愿意支付高薪来聘请熟练的数据工程师。

Data engineering roles in organizations tend to break the specialization up into Data Architecture, Database Design and Architecture, Data Platforms, Data Pipelines and ETL, Data Warehouses, and Big Data.
组织中的数据工程职位倾向于将专业细分为数据架构、数据库设计与架构、数据平台、数据管道和 ETL、数据仓库以及大数据。

Regardless of the niche you choose to specialize in, knowledge of operating systems, languages, databases, and infrastructure components, is essential.
无论您选择专注于哪个细分领域，操作系统、语言、数据库和基础设施组件的知识都是必不可少的。

To work your way up from a Junior Data Engineer to a Lead or Principal Data Engineer, you need to continually advance your technical, functional, and soft skills from a foundational level to an expert level. You need to not only expand your skills in your niche area, but also into other areas of data engineering at the same time.
要从初级数据工程师晋升为首席或高级数据工程师，您需要不断将您的技术、功能和软技能从基础水平提升到专家水平。您不仅需要在您的专业领域扩展技能，同时也要扩展到数据工程的其他领域。

Big Data Engineers and Machine Learning Engineers are some of the emerging roles in this field and they require specialized skills in addition to basic data engineering.
大数据工程师和机器学习工程师是该领域新兴的一些职位，除了基本的数据工程技能外，他们还需要专业的技能。

There are several paths you can consider in order to gain entry into the data engineering field.
有几种途径可以帮助您进入数据工程领域。

• An academic degree in Computer Science or engineering qualifies you for an entry-level job.
  计算机科学或工程学学位使您有资格获得入门级工作。
• If you are not a graduate, or a graduate in a non-relate stream, you can earn professional certifications from online multi-course specializations offered by learning platforms such as Coursera, edX, and Udacity.
  如果您不是毕业生，或者您的专业与此不相关，您可以从 Coursera、edX 和 Udacity 等学习平台提供的在线多课程专业中获得专业认证。
• If you have a coding background, or you are an IT Support Specialist, a Software Tester, a Programmer, or a data professional such as a Statistician, Data Analyst, or BI Analyst, you can upskill with the help of online courses to become a Data Engineer.
  如果您有编码背景，或者您是 IT 支持专家、软件测试员、程序员，或者统计学家、数据分析师或 BI 分析师等数据专业人士，您可以通过在线课程提升技能，成为一名数据工程师。