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学生对 数据块 提供的 Apache Spark (TM) SQL for Data Analysts 的评价和反馈

342 个评分
93 条评论


Apache Spark is one of the most widely used technologies in big data analytics. In this course, you will learn how to leverage your existing SQL skills to start working with Spark immediately. You will also learn how to work with Delta Lake, a highly performant, open-source storage layer that brings reliability to data lakes. By the end of this course, you will be able to use Spark SQL and Delta Lake to ingest, transform, and query data to extract valuable insights that can be shared with your team....



May 25, 2021

Content was amazing. Labs were really good. Videos from the lady talking the dense part need to improve. Audio from the lady had a messy stereo, also her pronunciation is not clear. Very bad quality


Jul 30, 2021

This course is amazing. The hands on labs was outstanding. But, the audio quality was poor. Needs to improve the audio quality. Overall a great experience learning Apache Spark.


76 - Apache Spark (TM) SQL for Data Analysts 的 97 个评论(共 97 个)

创建者 MK L

Dec 2, 2020

There are still some places need optimization or correction

创建者 Alessandro B

Feb 13, 2021

Very usefull course to start learning about Spark and SQL.

创建者 Sangman J

Nov 7, 2021

This lecture is very nice, but the pronunciation is bad.


Jan 4, 2021

Really useful and direct

创建者 Mohamed J B

Jun 28, 2021

A very complete course!


Dec 31, 2021


创建者 Dagart A

Dec 24, 2020

The video instruction is not as thorough as I would have liked. The last two weeks of the course material are quite complex in my opinion. The final lab challenges become quite time consuming and difficult because the material was not covered in depth earlier, so my surface understanding of the functions really made me have to do a lot more independent research through youtube for explanations.

创建者 Syed A

Jul 4, 2021

The videos and initial exercise are useful, but this is actually pretty tedious for someone who knows SQL and just wants to learn the Spark additions. Also, towards the end, there's typos everywhere.

创建者 Anurag K

Oct 1, 2021

Not what I expected. Very little discussion of underlying architecture. Simply too many sql exercises. Few typos on the exam. Not very clear. Not sure what I learned even after getting 99%.

创建者 Yosef C

May 16, 2022

t​he course is good in eneral, but:

1​. there are mistakes in notebooks.

2​. seems that the course isnt updated.

3​. they promise "Associate SQL Analyst"​ certificate, which you dont get it!

创建者 Deleted A

May 10, 2022

Some moe details on Data bricks would have been usefull. Some places important details where missing. Sometimes questions where bit confusing. Especially Week 8

创建者 Eddson M S M

Apr 23, 2022

Good hands on course with practical examples about Apache Spark SQL, but the exercises and questions are outdated.

创建者 Niklas B

Apr 19, 2021

Please update the final test. Some questions requires multiple answers and it is not mentioned in the questions

创建者 venkata m

Dec 15, 2020

More explanation helps around advanced constructs. Course more focused on hands on problem solving.

创建者 Gaurav S

May 2, 2021

This course is very basic - but if you are willing to read and do hands-on its a good start.

创建者 Pablo B S

Sep 2, 2021

This teaches more about SQL than Apache Spark

创建者 Riku A

Feb 19, 2021

Course is pretty hands on that does not give answer right away. You need to find the aswers for the exams from other than course sources. Also some of the assigments are poorly written.

创建者 Jeffrey B

Aug 31, 2021

Not really clear on apache Spark, too abstract, expected more in depht material.

创建者 John S

Dec 19, 2020

I got bored. Sorry :(

创建者 Dave H

Mar 8, 2022

This requires you to sign up and pay for external accounts to complete. I would not sign up for it. Videos are outdated and there is no community edition that is for you to .learn on a limited basis. Outdated.

创建者 SRI M

Dec 6, 2020

The Instructors and the quality of the presentation were not good and interactive.

创建者 Ryan C

Feb 7, 2022

Issues going past week 3, setting up SparkSQL. Issue has yet to be addressed.