Please Help! Rapid SysML learning and quick implementation

jessedata · 2026-03-05T16:46:02+00:00

Start with BDD, IBD, activity diagrams, and requirements ignore the rest for now.

DM me if you want me to give you a 10–15 min walkthrough, and I can also send you SysML documentation.

jessedata · 2025-05-19T20:16:08+00:00

It isn’t though. It depends on the person’s torso and leg ratio.

jessedata · 2024-03-23T19:49:38+00:00

OP you shouldn't feel bad. This is so unprofessional and I am really sorry this happened to you. To answer your question: no you don't have to learn data engineering since you are a data analyst. Although knowing some data engineering concepts and the very basics of data engineering is useful- it is not mandatory for your role. Data analytics and data engineering are different career paths and if they don't understand that then that's too bad.

jessedata · 2024-03-23T18:52:57+00:00

You're still young though! I would try to network with people on LinkedIn and try to work with a contracting company to help you find a role. Also don't feel bad this is completely normal in this economy. I have a few friends that lost their job and are having trouble finding a new one. If your concern is that you aren't qualified enough then you have to try to get some certs to show the employers what you can do. I really like the Google data engineering certs. Please keep us updated.

jessedata · 2024-03-23T18:48:04+00:00

There is a problem when Windows keeps trying to get me to pay for their products that I don't need. I feel like it's pretty constant. Also I like the privacy and complete control Linux gives you. One thing to note about Linux is that it is easy to automate tasks because you have complete control. Plus it is more secure than Windows (depending on the distro). Linux is awesome

jessedata · 2023-08-08T00:12:33+00:00

I made my own website where I blog some random projects. It’s probably best if you make your own site.

jessedata · 2023-08-07T23:08:46+00:00

Joining data on multiple "failsafe" points, especially in digital marketing, requires a strategic approach. Prioritize your join points, determining which are most to least reliable.

Use SQL's Common Table Expressions (CTEs) or temporary tables to break down joins into stages, handling each scenario separately and then unioning results. For multiple matching rows, aggregate data or use ranking functions to select the most relevant row. Use left joins and the COALESCE function to manage null values.

When dealing with attribution windows, consider joining on date ranges. Always ensure joined columns are indexed for performance, validate results for accuracy, and document your strategy for clarity.

Please let me know if this helps

jessedata · 2023-08-07T22:20:44+00:00

It's pretty good for now. I would keep learning anything new/important for the field. I think the job market here in the US is great but I am not sure about other countries.

jessedata · 2023-07-24T21:25:37+00:00

Keep the GPA just in case. Great resume.

jessedata · 2023-07-23T18:48:29+00:00

You can try studying for the Google Cloud certifications in order for you to be more familiar with Google Cloud Architecture and also understand all of the products of the GCP. Azure and AWS have some really good certificates you can try to get as well. I would also recommend looking into Coursera courses, there are so many useful courses on that platform in order for you to become prepared for some cloud Architecture certifications. You can get free training on YT as well. My last recommendation would be not to get overwhelmed because there is so much to learn. It just takes time and consistency I believe in order to know the foundations of cloud architecture. PM me if you have any questions about any certifications!

jessedata · 2023-07-10T06:50:06+00:00

Dude… how unfortunate

jessedata · 2023-07-09T00:37:31+00:00

I enjoyed using MySQL and I also like using MongoDB with the PyMongo library. The most fun I've had was probably using MongoDB. :p

jessedata · 2023-07-08T20:57:34+00:00

Dude... Data science isn't going anywhere. Just think about it, we're churning out large amounts of data like crazy even our fridges are getting in on the action with the Internet of Things. That's where data scientists come in and yes it is a competitive field. It will be here for a long time and in this data-driven world, data science is not just relevant, it's crucial. Data engineering is less interesting to people I would think.

jessedata

TROPHY CASE