Udacity-Data-Engineering-Projects
data-engineer-roadmap
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Udacity-Data-Engineering-Projects | data-engineer-roadmap | |
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5 | 68 | |
1,295 | 11,939 | |
- | 1.3% | |
0.0 | 0.0 | |
over 1 year ago | over 2 years ago | |
Python | ||
GNU General Public License v3.0 or later | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Udacity-Data-Engineering-Projects
- Pitanje za data engineering?
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✨ 5 Free Resources to Learn Data Engineering 🚀
🔗 https://github.com/san089/Udacity-Data-Engineering-Projects
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How can I become a big data engineer?
You can start with googling data engineering learning path to get a sense of what you need to know. If you are looking for simple projects to start with then you can look at this as well (https://github.com/san089/Udacity-Data-Engineering-Projects).
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Beginner DE projects.
For practice, Data Modeling with Postgres and Udacity Data Engineering Projects as examples, and Data Engineering Project for Beginners - Batch edition for a guided tutorial.
- Data Pipeline Examples in Action
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?
hydra - Hydra: Column-oriented Postgres. Add scalable analytics to your project in minutes.
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020
data-engineering-zoomcamp - Free Data Engineering course!
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
data-engineering-book - Accumulated knowledge and experience in the field of Data Engineering
Data-Science-Roadmap - Data Science Roadmap from A to Z
ask-astro - An end-to-end LLM reference implementation providing a Q&A interface for Airflow and Astronomer
adventofcode - :christmas_tree: Advent of Code (2015-2023) in C#
pg-counter-metrics - PG Counter Metrics ( PGCM ) is a tool for publishing PostgreSQL performance data to CloudWatch. By publishing to CloudWatch, dashboards and alarming can be used on the collected data.
materialize - The data warehouse for operational workloads.
canarypy - CanaryPy - A light and powerful canary release for Data Pipelines
Apache HBase - Apache HBase