Chevron Left
Back to Spark, Hadoop, and Snowflake for Data Engineering

Learner Reviews & Feedback for Spark, Hadoop, and Snowflake for Data Engineering by Duke University

3.8
stars
31 ratings

About the Course

e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programmingGain the skills for building efficient and scalable data pipelines. Explore essential data engineering platforms (Hadoop, Spark, and Snowflake) as well as learn how to optimize and manage them. Delve into Databricks, a powerful platform for executing data analytics and machine learning tasks, while honing your Python data science skills with PySpark. Finally, discover the key concepts of MLflow, an open-source platform for managing the end-to-end machine learning lifecycle, and learn how to integrate it with Databricks. This course is designed for learners who want to pursue or advance their career in data science or data engineering, or for software developers or engineers who want to grow their data management skill set. In addition to the technologies you will learn, you will also gain methodologies to help you hone your project management and workflow skills for data engineering, including applying Kaizen, DevOps, and Data Ops methodologies and best practices. With quizzes to test your knowledge throughout, this comprehensive course will help guide your learning journey to become a proficient data engineer, ready to tackle the challenges of today's data-driven world....

Top reviews

MK

Invalid date

Great course, detailed steps by step walkthrough that really simplifies understanding

VD

Invalid date

A course that cover all aspects basic of data engineer, i love it

Filter by:

1 - 15 of 15 Reviews for Spark, Hadoop, and Snowflake for Data Engineering

By Nela B

•

Jan 12, 2024

A nice introduction to big data platforms and their capabilities. Particularly interesting and useful were MLflow in Databricks and Github Codespaces. This course works best as an overview of the big data platforms and related organisational principles (DevOps, DataOps, MLOps), although there are some demonstrations of coding and the provided programming exercises were helpful, if a bit elementary. The videos in Week 4 were super interesting but too long, so some of them could benefit from being edited down to the essentials. Also the quizzes are quite easy so it would be nice to have some assessed programming content.

By Lilian D K

•

Apr 11, 2024

A little bit too much product placement. I liked the theoretical parts although VERY MUCH!

By Gerardo Z

•

Feb 21, 2024

Very basic without real applications that would prepare you for a job.

By Rick K

•

Jan 24, 2024

Low video quality and not challenging enough.

By Gaurav D

•

Aug 16, 2024

not so many exercises. too easy questions

By Othmani z

•

Jan 24, 2024

The content is not detailed enough to introduce properly the subjects, The labs are not well commented.

By Ricardo M

•

Mar 11, 2024

Just one big advertisement for Databricks and Azure

By Mike K

•

Aug 7, 2024

Great course, detailed steps by step walkthrough that really simplifies understanding

By Valentin D

•

Jan 16, 2024

A course that cover all aspects basic of data engineer, i love it

By Daniel M R

•

Jul 7, 2024

Many importants subjects

By Hovhannes A

•

Apr 17, 2024

it was amazing !!!!

By Yimmi A M A

•

Jun 17, 2024

Excelente Curso

By CG - D S J

•

Sep 14, 2024

Excelente

By Victor C

•

Jan 29, 2024

Thanks

By Fareed A

•

Sep 18, 2024

Certificate is not clear