good course

good

The course material was basic so make sure do to a lot of your own additional learning outside of the coureswork. The discussion staff are not helpful/don't understand or even read your questions before replying. The labs don't always work and the instructions don't always line up with current software upgrades. Just be prepared to do a lot of troubleshooting with not much help. I wish the course would tell you what to do when certain errors occur/are more thorough with their instructions.

Cette note est du au fait du probleme de notation des examens. Le fait de laisser à l'appréciation des étudiants de juger de la bonne réponse basé sur uniquement que des indices... par exemple pour le Task 1.2 à 1.8 je crois avoir eu 2 presque partout maison ne m'en a donné que 1. Ce que je ne trouve pas vraiment juste

The final exam experience was so poor. I have got disconnected many times and my correct answers were shown incorrect due to time exceeded error. Although, labs project were good and a little bit challenging which I liked it.

The lab exercises were not loaded, so I had to move to the next section and it was not understandable, there is a technical issue! Also, I did not like the material and the explanation was not clear.

A bit too easy, more into details. More advanced exercises to learn and be more ready for working with it.

Could be better if the airflow and kafka labs didn't have intermittent loading issues.

Good Course It help me manipulating Data

Week 1 feels useless because the main idea is to learn about Airflow and Kafka, and all this information about ETL it is not relevant if the course is positioned as an advanced one. In Week 4, the Apache Kafka lab is not working. I have logs with errors, making it impossible to install Kafka Server on the VM. It's impossible to do any examples. Why do I need install all this on my Linux VM to perform this lab? I pay money for broken lab. I strongly suggest not taking this course because 50% of the course, the lab, is unusable/unavailable.

I feel though the final project suffered from issues with permissions, and there was a lack of a standard setup. Where should DAG scripts go? Why should they be in a folder with admin only permissions? Submitting screenshots is tedious and (frankly) shows a lack of willingness on the part of the course designers to use tools like nbgrader/Jupyter notebooks or other automated grading solutions.

Warning, if you can write a "Hello World" program in any language, you probably want to skip this course/certification.

There are a few issues with this course. Firstly this course teaches Kafka version 2.12 which uses Apache Zookeeper meanwhile as far as I understand it zookeeper was removed from version 3.4 so this should be updated. Also I had to loose marks in my assessment as I was not able to move files in the network lab as I didnt have enough permissions according to the system and the code that was provided did not help.

As with all these IBM courses this one is super boring. Robot voice talking over powerpoints, as usual. This one stuck out as especially bad because the online lab environment is very unreliable. So much time was wasted waiting for airflow to fail to start. Extremely frustrating!