This is a technical, hands-on course that teaches learners how to build modern and continuous data pipelines with Snowflake. It focuses specifically on the most practical Snowflake concepts and tools to get learners up and running quickly with building data pipelines.
Introduction to Modern Data Engineering with Snowflake
Introduction to Modern Data Engineering with Snowflake
本课程是 Snowflake Data Engineering 专业证书 的一部分
11,934 人已注册
包含在 
中
您将学到什么
How to use Snowflake to ingest data at scale, perform data transformations against data, deliver data products, and orchestrate data pipelines
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
作业
5 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累 Software Development 领域的专业知识
本课程是 Snowflake Data Engineering 专业证书 专项课程的一部分
在注册此课程时，您还会同时注册此专业证书。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 通过 Snowflake 获得可共享的职业证书
该课程共有5个模块
Learners understand how the explosion of data in recent years has led to an increased demand for extracting insights from that data, giving rise to data engineering. They'll understand previous data engineering approaches, modern data engineering approaches using Snowflake, and contextualize data engineering with the Ingestion-Transformation-Delivery ("ITD") framework. They also prepare their development environment and build a simple data pipeline with Snowflake.
涵盖的内容
6个视频2篇阅读材料1个作业
Learners learn how to ingest data into Snowflake at scale using various, powerful techniques. They specifically load data into Snowflake using the Snowflake Marketplace, the Snowflake web interface (Snowsight), the Snowflake CLI, and the powerful COPY INTO SQL command. Learners also understand how to ingest data from external systems using Snowflake native connectors, and how to optimize data ingestion by fully utilizing a virtual warehouse.
涵盖的内容
9个视频3篇阅读材料1个作业
Learners perform data transformations using SQL or Snowpark for Python. Learners also understand that they can use Snowpark to perform data transformations with Java and Scala. They also extend their knowledge of data transformations by learning about, creating, and using user-defined functions (UDFs), stored procedures, streams, and Snowflake Dynamic Tables. They also learn how to perform data transformations using these tools outside of Snowflake, specifically in Visual Studio Code using Snowflake's official extension.
涵盖的内容
9个视频1篇阅读材料1个作业
Learners understand what orchestration means, and how to add automation to data pipelines using tasks. They specifically learn about user-managed and serverless tasks, and create tasks to automate calls to stored procedures. They also create and link tasks together to form a task graph, or DAG, and execute individual tasks and entire DAGs.
涵盖的内容
5个视频1篇阅读材料1个作业
Learners understand what orchestration means, and how to add automation to data pipelines using tasks. They specifically learn about user-managed and serverless tasks, and create tasks to automate calls to stored procedures. They also create and link tasks together to form a task graph, or DAG, and execute individual tasks and entire DAGs.
涵盖的内容
5个视频3篇阅读材料1个作业
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
位教师
授课教师评分
4.9 (46个评价)
5 门课程29,728 名学生
提供方
从 Software Development 浏览更多内容
状态：免费试用
状态：免费试用Duke University
状态：预览
Coursera Project Network
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'
Chaitanya A.
''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'
学生评论
4.8
120 条评论
- 5 stars
84.29%
- 4 stars
12.39%
- 3 stars
1.65%
- 2 stars
0.82%
- 1 star
0.82%
显示 3/120 个
AP
5
已于 Mar 20, 2025审阅
The course is well-structured and provides a clear introduction to creating data pipelines using Snowflake. The instructor presents the material in a straightforward and approachable manner.
PS
5
已于 Apr 3, 2025审阅
This is a awesome course that helped me understand the concept of data engineering in snowflake using hands-on practices.
ST
4
已于 Sep 16, 2024审阅
It gives a overall idea of how to build data engineering at a very short period of time.
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
更多问题
提供助学金，