AP
7. März 2022
the lecture was clearly understandible and I feel very gratefull to have this lecture
thank you it was phenomenal😊
ND
8. Nov. 2022
All the thinks I need to know about Big Data, Spark, Hadoop and Hive and explained in details
von Long N T
•25. Okt. 2021
Personally, I've found that the knowledge delivering method should be redone in a more attractive manner. Concretly, the fact of giving too many texts and theories in the slides easily make students get bored and lack of motivation to continue listening. For such kind hands-on courses, we need more and more practical exercises instead of too many theories lectures without showing any demo neither coding in the slides
von Peter F
•10. Feb. 2022
To me, this seems like general BS full of buzzwords, but you won't learn anything practical anout how to use these tools
von Prateek P
•2. Juni 2022
It's very hard to follow a bot's voice. Not at all interactive. A machine keeps speaking at a speed. That's not a way to learn something.
von Arnaud H
•31. Okt. 2021
IBM stopped to maintain/support it's platform where the jupyter exercises are hosted since more than 1 year !
It's a true shame, we discover at the end of the formation than it is impossible to finish it...
von Omar H
•30. Jan. 2022
It is a great course on the theory part but there is no practical part " I guess they was depending on the next course in the specialization", also it would be better for more non robotic way in delivering the lectures.
von Mohd S B S H
•16. Feb. 2022
Too dry and technical plus I couldn't get some of the codes with the notebook to work. There is a better video especially for Hadoop on Udacity that gives a much better explanation and I do hope you try to make the material more digestable. Each video is trying so hard to cram as much information into it as possible without giving the students much time to understand what is going.
von David A S
•22. Juni 2022
Since I already had a previous banckground using Spark this course refreshed the theoretical foundations about its main topics: RDD, parellelism amog other. It was good to remember the way Spark works. On the other hand I must say there are some troubles with some labs environments where is not possible to work on the practical exercises.
von Natale F
•21. Nov. 2021
Good course on the theoretical concepts needed to understand these tools. However, there is not much practice.
von sohil g
•21. Juni 2022
It is Presentation deck with AI bot giving Voiceover narration. No one really teaching anything .
von Antonio G
•15. Nov. 2022
I found this course very interesting, great for an aspiring data engineer! It starts by introducing the concept of big data in general and then goes into more and more detail, analyzing Hadoop and Spark in depth. I highly recommend it!
von Aditya P S P
•7. März 2022
the lecture was clearly understandible and I feel very gratefull to have this lecture
thank you it was phenomenal😊
von Noel D
•9. Nov. 2022
All the thinks I need to know about Big Data, Spark, Hadoop and Hive and explained in details
von Rorisang S
•8. Mai 2022
Fantastic blend of theory and practical (labs). The labs are short and have concise material.
von CHIU W S
•28. Okt. 2022
well-structured course with comprehensive content and practical skills
von TARIQ S
•25. Jan. 2022
leesons also the time i spend was unnoticable thank you so much
von EDGAR A T G
•5. Jan. 2023
Excellent introductory course to big data, spark and hadoop!
von Jesus G Z H
•31. Dez. 2022
Muy util curso, sin embargo fue complicado es muy teórico
von Youssef H
•24. Jan. 2022
thank you so much , i really enjoyed the course
von Jesus P
•26. Nov. 2022
Excellent training and documentation
von Muhammad A
•22. Dez. 2022
Very helpful in future
von Wilson E V D
•7. Jan. 2023
excelente informacion
von IVAN E T C
•26. Nov. 2022
excelente explicacion
von Urvish M
•3. Mai 2022
Such a great course.
von Minh N T
•20. Mai 2022
easy understanding
von Shivam K
•2. Feb. 2022
Good course