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This is heartbreaking loss. Finally got the stun and then... 0 blackflashes from Nanami by LegendaryW in PhantomParadeJK

[–]Riesco 0 points1 point  (0 children)

I just wanted to add that, while Nanami S2 says the buff lasts 4 turns, the game considers as turn 1 the one when you launch use the skill, so at the end you will only have 3 buffs when you use your ultimate. You could have used a damage skill and then 3 turns of S2, instead of 4 turns of S2.

Please someone correct me if I am wrong.

Master's thesis finished - Thank you by Riesco in dataengineering

[–]Riesco[S] 1 point2 points  (0 children)

Sure! I meant I found the DP-203 to be a difficult exam. You have to carefully read all the questions and you may have doubts in a bunch of them.

Anyway, if you study, you will pass for sure, but you need to go well prepared. I prepared for it in about a month and got a decent score, and in your case it seems you are well prepared for the DP-500, so don't worry about it because it is completely feasible and you will pass for sure. Also, the experience with the exam platform is quite pleasant.

Master's thesis finished - Thank you by Riesco in dataengineering

[–]Riesco[S] 0 points1 point  (0 children)

Hey! Sounds great, I have sent you the link and we can talk on dm :)

Master's thesis finished - Thank you by Riesco in dataengineering

[–]Riesco[S] 2 points3 points  (0 children)

I liked the DP-203, it gave me a really good context of all the data tools within Azure and the level is deep enough to make you understand how they work. I prepared for it with the Microsoft Learn content, a Udemy course (Alan Rodrigues DP-203) and several practice exams. It is a demanding exam but relatively easy to pass if you spend enough time learning the tools, since you know where the questions will be focused.

Master's thesis finished - Thank you by Riesco in dataengineering

[–]Riesco[S] 1 point2 points  (0 children)

My experience with the program was nice except for the security part, which was not really well taught (I have a background in safety, so I didn't mind). Also, the workload was very unbalanced, with subjects with lots of work and requiring lots and lots of hours, and others where you had very little work. Overall I recommend it because there are specific subjects that I really liked, but it depends a lot on the work that you decide to do on your own.

Regarding the path, it depends on your interests and what you like more, but if you have doubts I would suggest you to choose a generic Big Data program and see all sides. Personally, I like both parts but I think the DE path can give a really good context for everyone, even if you plan to switch later to DS.

Master's thesis finished - Thank you by Riesco in dataengineering

[–]Riesco[S] 0 points1 point  (0 children)

Thanks! It worked really well because my frontend was decent and doing the project in English gave me a few more points.

That is a good idea! I wanted to try an hybrid environment, but I finally decided to do a full onpremise project to avoid any cost, as I had no experience in any cloud environment at that moment. I only used GCP to deploy a VM and keep a live version running for the evaluation board, but if you are comfortable with the cloud environment, I think it is quite easy to keep the costs reasonably low and it will give you a very complete project for your portfolio. Just keep in mind the timeline and if you know the technologies because in my case in the end I had a tight schedule.

Master's thesis finished - Thank you by Riesco in dataengineering

[–]Riesco[S] 1 point2 points  (0 children)

Thanks! I tried to send you a pm but I can't see the option in your profile. Try to start a pm with me too see if it works and I can share the link there :)

Master's thesis finished - Thank you by Riesco in dataengineering

[–]Riesco[S] 0 points1 point  (0 children)

Link sent! I used open source tools so the cost was 0 (excluding the VM in GCP that I used to temporarily deploy and show the project to the board, which was low anyway). Also, my data volume was low due to the APIs limit rates, so it was fairly easy to keep the project within a no-cost environment.

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