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Search - "data modeling"
Full stack developer.
I know what it's supposed to mean, but I feel like it gives discredit to the devs who perfect their area (frontend, backend, db, infrastructure). It's, to me, like calling myself a chef because I can cook dinner..
The depth, analysis and customization of the domain to shape an api to a website is never appreciated. The finicle tweaks on the frontend to make those final touches. Then comes a brat who say they are full stack, and can do all those things. Bullshit. 99.9% of them have never done anything but move data through layers and present it.
Throw these wannabes an enterprise system with monoliths and microservices willy nelly, orchestrate that shit with a vertical slice nginx ssi with disaster recovery, horizontal scaling, domain modeling, version management, a busy little bus and events flowing all decimal points of 2pi. Then, if you fully master everything going on there, I believe you are full stack.
Otherwise you just scraped the surface of what complexities software development is about. Everyone who can read a tutorial can scrape together an "in-out" website. But if your db is looking the same as your api, your highest complexity is the alignment of an infobox, I will laugh loud at your full stack.
And if you told me in an interview that you are full stack, you'd better have 10+ years experience and a good list of failed and successful projects before I'd let you stay the next two minutes..1
Course title: Advanced Database Management
-Create a database with SQL.
-Describe data normalization of database information.
-Describe distributed database management system.
-Design databases based on Entity Relationship modeling.
-Discuss connecting to databases with server-side scripts.
-Discuss database administration and security.
-Discuss database systems
Like. Come. On.7
Learning Image Processing,Deep Learning,Machine Learning,Data modeling,mining and etc related to and also work on them are so much easier than installing requiremnts, packages and tools related to them!2
Random thoughts on more out of the box tools/environments.
Some time ago I had shown one of my coworkers about Pharo and he quickly got the main idea behind it but mentioned how he didn't like the idea of leaving behind his text editor to deal with source code.
Some time last week I showed the dude some cool 3d animations you can do with Pharo while simultaneously manipulating the code to change them in real time. Now that caught his attention particularly and he decided he wanted to know more about the language but in particular the benefits of fucking around with an image based environment rather than a file based.
Both of us reached the conclusion that image based makes file based dev enviroments seem quaint in comparison, but estimated that it was nothing more than a sentiment rather than a fact.
We then considered what could be the advantage/disadvantages of such environments but I couldn't come up with anything other than the system not having something like Vim or VS Code or whatever which people love, but that it makes up for it with some of the craziest IDE tools I had ever seen. Plugins in this case act like source code repos that you can download and activate into your workflow in what feels something similar to VS Code being extended via plugins written in JS, and since the GUI is maleable as it is(because everything is basically just subsets of morp h windows) then extending functionality becomes so intuitive that its funny
Whereas with Emacs(for example) you have to really grind your gears with Elisp or Vimscript in Vim etc etc, with Pharo your plugin system is basicall you just adding classes that will convert your OS looking IDE into something else.
Because of how light the vm machine is, portability is a non issue, and passing pharo programs arround is not like installing Java in which you need the JVM.
Source code versioning, very important, already integrated into every live environment and can be extended to do pushes through simple key bindings with no hassle.
I dunno, I just feel that the tool is too good to be true. I keep trying to push limits into it but thus far I have found: data visualization and image modeling to work fine, web development with Teapot to be a cakewalk and work fine, therr are even packages for Arduino development.
I think its biggest con would be the image based system, but would really need to look into how this is bad by any reason other than "aww man I want vim!" since apparently some psychos already made Emacs and VS code packages for interfacing with Pharo source trees.
Embedded is certainly out of the question for any real project since its garbage collected and not the most performant cookie in the jar.
For Data science I can see some future, seems just as intuitive and interesting as a Jupyter Notebook actually, but the process can't and will not be the same since I still don't know of a way to save playground snippets unless you literally create classes for it, in which case every model you build gets saved inside of an object, sounds possible but, strange since it is not a the most common workflow in jupyter.
Some of the environment is sometimes glitchy, but it does have continuos development and have not found many hassles.
There is a biased factor from my side: I seem to be wired to understand the syntax and simple object model better than in other languages. To me this feels natural as if I was just writing ideas rather than code, mostly because I feel that there really ain't much in terms of syntax, the language gets out of my way and the IDE feels like the most intuitive environment in the world to me. I can see why some people would find it REALLY weird of counterintuitive tho.
Guess I really am a simple dude.
Am I the only one who hates it with his guts that most Active Record implementations infer fields from the db?
Which motherf*cker thought it'd be fun to imagine the model through several migrations, or to imagine the data types in the languague itself when looking at the database?
Let me write the model and infer the f*cking changes to create migrations, not the other way around.
We were on track to provision Cassandra for logging and elasticsearch for business data store.
Now we are on track to provision mongodb and elasticsearch. That's right, two document stores.
Things go to hell when management think they are capable of taking engineering decisions.