awesome-etl
A curated list of awesome ETL frameworks, libraries, and software. (by pawl)
data-engineer-roadmap
Roadmap to becoming a data engineer in 2021 (by datastacktv)
awesome-etl | data-engineer-roadmap | |
---|---|---|
2 | 68 | |
3,136 | 11,939 | |
- | 0.0% | |
2.5 | 0.0 | |
2 months ago | over 2 years ago | |
- | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
awesome-etl
Posts with mentions or reviews of awesome-etl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-17.
- Any self-hosted methods of Reformatting webhooks?
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Why is Data Engineering popular now?
Have you met any DB/SQL Developers having a strong Software Engineering or Computer Science background, are efficient coders, but mostly do SQL and drag-and-drop ETL, instead?
data-engineer-roadmap
Posts with mentions or reviews of data-engineer-roadmap.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-30.
- 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?
When comparing awesome-etl and data-engineer-roadmap you can also consider the following projects:
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Data-Science-Roadmap - Data Science Roadmap from A to Z
adventofcode - :christmas_tree: Advent of Code (2015-2023) in C#
materialize - The data warehouse for operational workloads.
Apache HBase - Apache HBase
awesome-opensource-data-engineering - An Awesome List of Open-Source Data Engineering Projects
Apache Hadoop - Apache Hadoop
Apache Hive - Apache Hive
Cookbook - The Data Engineering Cookbook
cookbook - VueJS + NodeJS Evergreen Cookbook
data-engineer-roadmap vs golang-developer-roadmap
data-engineer-roadmap vs developer-roadmap
data-engineer-roadmap vs Data-Science-Roadmap
data-engineer-roadmap vs adventofcode
data-engineer-roadmap vs materialize
data-engineer-roadmap vs Apache HBase
data-engineer-roadmap vs awesome-opensource-data-engineering
data-engineer-roadmap vs Apache Hadoop
data-engineer-roadmap vs Apache Hive
data-engineer-roadmap vs Cookbook
data-engineer-roadmap vs cookbook