introduction-to-sql
data-engineer-roadmap
introduction-to-sql | data-engineer-roadmap | |
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4 | 68 | |
287 | 11,939 | |
- | 1.3% | |
5.8 | 0.0 | |
6 months ago | over 2 years ago | |
HTML | ||
MIT License | - |
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introduction-to-sql
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The Data Engineer Roadmap 🗺
SQL basics
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💡 Free Laravel Tips and Tricks eBook
Introduction to SQL eBook
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SQL basics for absolute beginners
If you enjoy the eBook, make sure to star it on GitHub!
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Introduction To MongoDB and How To Use It
If you also want to learn more about SQL and how to use it, I highly recommend that you check out this Introduction to SQL opensource ebook. It helped me understand how to use SQL and I highly recommend it.
data-engineer-roadmap
- Pitanje za data engineering?
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How should I start learning/implementing DevOps in data engineering projects?
In DevOps tools I've worked with GitHub + Jenkins, GitLab + k8s, and I'm now primarily working in the Argo Stack. Depending on where you're at technically, you might use something different. IaC is a ust as well, maybe some config management. Generally I've found that as a Data Engineer with a lot of infra/CICD knowledge, I generally get pigeonholed into those positions on a team, so be prepared for that. I really like this roadmap for DevOps , so you can see where your tech skills are at currently, and what you may need to learn. On top of that, you'll need to learn some data tools. Airflow + dbt is hot right now, Argo is sometimes used in MLOps, Azure Data Stack (I'm not familiar with it) seems common, and probably Spark in almost all cases. You can also checkout in visualization tools probably further down the line, I generally stick to something free when learning on my own, Superset or Google Data Studio (Might be Looker Studio now? Not sure, it's been a while). Here's a roadmap for DE too. I love these roadmaps for getting started, but don't let them distract you from exploring a path more appropriate to what you want to achieve. Generally I've found that as a Data Enigneer with a lot of infra/CICD knowledge, I generally get pigeonholed into those positions on a team
- What is roadmap to enter into data engineering?
- Need help on Data Engineering Roadmap
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Woman interested in data engineering with Python background
Anyways, sorry bit of a rant - I land somewhere in the middle. I would say take formal classes and resources when you can. If you have access to a free course a semester, that's incredible in my opinion. If I were in your shoes, I would follow a roadmap and see if there are courses that check off a box in that roadmap. So for example, you know you need to learn CS fundamentals - see if you can take a DSA class or something. Or take a class on databases. Or an OOP or databases class. I would take those classes if I had the opportunity just because I didn't when I was in college. No one course will check every box for sure.
- 1 Year Development Plan
- How to utilise SQL/Data engineering skills
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Got my first DE role as a JR
I don't remember all of the name of the courses but I think this roadmap can put you in the right direction https://github.com/datastacktv/data-engineer-roadmap
- What things must I master as a data engineer?
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What do you do professionally and how much do you earn?
You can follow this roadmap https://github.com/datastacktv/data-engineer-roadmap I have already replied some redditors with suggestions, you can read them.
What are some alternatives?
laravel-tips-and-tricks-ebook - Free Laravel Tips eBook
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020
tails - This is the Tails composer package for Laravel. Easily fetch designs in your Laravel application that you design inside of the Tails Site/Page Builder.
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
beam - Apache Beam is a unified programming model for Batch and Streaming data processing.
Data-Science-Roadmap - Data Science Roadmap from A to Z
Apache HBase - Apache HBase
adventofcode - :christmas_tree: Advent of Code (2015-2023) in C#
introduction-to-git-and-github-ebook - Free Introduction to Git and GitHub eBook
materialize - The data warehouse for operational workloads.
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing