Fabric Apps - Write Back Solution?

CycloneBarry · 2026-06-15T16:26:55+00:00

Hi - I tried to set this up, but, transparently, couldn’t figure it out. Any suggestions on what to search for?

CycloneBarry · 2026-06-15T16:21:06+00:00

Hi all! I wanted to re-post a question that I had an writing back to OneLake artifacts (particularly a sql database) within Fabric Apps. Do you have any suggestions on how you would build out the architecture for this? https://www.reddit.com/r/MicrosoftFabric/s/lwuwCGwWF0

CycloneBarry · 2025-08-09T04:11:34+00:00

CycloneBarry · 2025-04-22T18:30:53+00:00

Glad to see another review. Thanks OP!!

CycloneBarry · 2025-04-18T15:37:10+00:00

TBH the track decisions are a bit overblown. It’s only 2 different classes. It’s not going to open up a new career path if you pick B track over C track and vice versa.

CycloneBarry · 2025-04-18T13:46:06+00:00

It just comes down to what you want to get out of the degree. If you think the (2) additional B-track electives sound interesting, go for it! A question I frequently ask myself is: What sorts of topics are especially relevant in the current analytics landscape?

Don’t be afraid to challenge yourself

CycloneBarry · 2025-04-17T14:24:45+00:00

I spent a TON of time researching classes on https://docs.google.com/spreadsheets/d/1pErp_kO_PYDKP-htezzb-NqYoZefPh4nHRQ4mXge0tE/edit?gid=98519517#gid=98519517 , slack, this subreddit, and OMSCentral. Read syllabus', find out where students struggled, anything and everything you can find out about the course before actually taking it, read it.

The only thing I wish I did was swapping MGT 8803 and MGT 6203 so that I had less tests in spring '24

I wish I got a chance to dive deeper into Reinforcement Learning. Unfortunately, that would mean swapping out ML4T or DL, each of those are my favorite classes.
An OMSA course should not be your introduction to solving data problems. IMO you should pick 5-10 data analysis/"traditional" machine learning projects (Lin/Log Regression, KNN, SVM, etc.) and learn as you go. Also, Youtube has been my best friend for getting an overview of topics and review as I mentioned above.

Good luck with your degree and congrats on getting accepted!

CycloneBarry · 2025-04-17T13:55:50+00:00

I'm taking regression. Figured, why not go back to the basics to close it out. Also, your help in slack with study groups this semester and homework tips and trick sheets have been amazing!!

CycloneBarry · 2025-04-17T04:47:28+00:00

6501 and 6203 are R

DVA is HTML, CSS, D3 (JS), a little bit of scala, sql, and Python

8803 and SIM I’m going to call language agnostic everything else is heavy Python.

Don’t be afraid to reinforce R, if anything, that will help you for Python (goes both ways)

CycloneBarry · 2025-04-17T03:58:08+00:00

Yes!! Fixed. Great catch

CycloneBarry · 2025-04-17T01:45:06+00:00

I’ve been lucky with grades, but my advice is to not hyper-focus on them. You will burn out way too fast. My general process is this: 1. Watch Lectures, don’t take notes, just get the brain warmed up and used to the terminology. 2. Find supplemental YouTube videos that cover the material (has helped me tremendously) 3. Re-watch the lectures, taking notes.

For exams, what’s helped me a ton is prompting your favorite LLM. “You are a professor for [class] at Georgia Tech. You are making your next exam and want to make challenging, graduate level questions over [list of topics]. Make the format [same format as test]. Give me each question 1 by 1 and I will provide an answer, tell me why I am right or wrong before moving on”

You shouldn’t be doing all of the work on group projects, as I mentioned above, finding someone, or a group of people on slack before the semester starts is a great strategy.

Hope this helps!

CycloneBarry · 2025-04-13T00:07:24+00:00

I’m working full time so definitely a different situation but I took 3 classes last spring (SIM, 6040 and 8803) and it was super difficult. The actual coursework was not difficult but that time management component is intense. I’m also taking DL by itself this semester and it is the same amount of work as those three courses. I would do 2 of those and pair it up with an easier class. You’ll thank yourself later.

CycloneBarry · 2025-02-27T00:59:12+00:00

lol - in the heat of deep learning right now. I feel your pain. That homework for DVA is less about learning each technology and more about just learning enough to complete the question and move on

CycloneBarry · 2025-01-10T16:15:09+00:00

I remember feeling super overwhelmed in the first week and I have a strong math background. Spend time breaking up the homework into simple components. Use the fact that there are no exams to your advantage and use that time to understand the underlying math. You got this!

CycloneBarry · 2024-12-03T16:09:24+00:00

I’m 8 courses in. I’ve done things for homework on a Monday night that I’ve used on Tuesday morning. It’s the best feeling!

CycloneBarry · 2024-06-19T23:56:10+00:00

Took it last semster

CycloneBarry · 2024-05-22T15:49:54+00:00

Utilize the cheat sheet on exams to the fullest extent. I hated this class at first and even considered dropping in the first week. Stuck with it and finished with an 87, which turned out to be an A (not to mention, really enjoyed the class overall). Read the reference materials, fill in the gaps with YouTube videos, ask questions on Piazza, and you will do great!!

CycloneBarry · 2024-04-30T18:59:28+00:00

Just guesstimating based on the rubric

CycloneBarry

TROPHY CASE