modern-elt-demo
awesome-readme
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modern-elt-demo | awesome-readme | |
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14 | 30 | |
20 | 16,912 | |
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10.0 | 6.4 | |
over 1 year ago | 7 days ago | |
PLpgSQL | ||
MIT License | - |
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.
modern-elt-demo
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Is there any paid bootcamp or certification worth taking for DE?
There's this bootcamp https://dataengineercamp.com/ I haven't taken it myself, though I've seen some of the content (which was very good). Jonathan who runs it is a great guy and great at teaching too!
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[Interview prep] Anyone in Zach wilson's data engineering bootcamp?
How is https://dataengineercamp.com/ ? The course is from Australia
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Suggestions on roadmap?
Amazing post, lots of great tips and a comprehensive breakdown. Are these covered in https://dataengineercamp.com/?
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Guidance on Enrollment Prospects
With that, I am deciding whether: - to take up a Masters in Information Technology in one of the schools here in our country (An anonymous draft of the program can also be sent to hide the identity of the school), or - enroll in this bootcamp (https://dataengineercamp.com/) since based on some reviews and my limited knowledge, this could be a great help for me if I ever decide to find better opportunities.
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Most efficient way to break in?
P.S. I teach a data engineering bootcamp, if you'd like to learn more check out Data Engineer Camp.
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Springboard data engineering track bootcamp, has anyone tried it?
If you're looking for a data engineering bootcamp, why not check out https://dataengineercamp.com/
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Data Engineering bootcamps - DataStack Academy vs WeCloudData
Hello there, I'd suggest checking out Data Engineer Camp if you haven't already. Our next cohort is kicking off July/August 2023. Student testimonial here.
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Senior Finance student to Data Engineering
If your interest to become an applied data engineer and do data engineering for a company, then research (PhD) might be overkill. Having a computer science background (degree, or masters, or bootcamp) is sufficient. Most of the learnings will come from being on the job and learning data engineering patterns. I would recommend two books that are great at diving deeper into this topic: Fundamentals of Data Engineering, and Designing Data Intensive Applications. If you are looking for a course that introduces you to the concepts of data engineering, check out Data Engineering Zoomcamp. Disclaimer, I teach a paid data engineering bootcamp called Data Engineer Camp for people that want to be trained by experienced practitioners.
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Data Engineer Camp bootcamp.
I was looking for some courses online about data engineering, and I came across this bootcamp from Australia (Data Engineer Camp. Has someone ever heard of it or taken it? The curriculum looks solid and the structure seems to be fine. The price is around usd$2,900, not that bad in comparison with other bootcamps, and has payment options.
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What's the cheapest online Masters Data Engineering degree?
Hey there, not a masters degree, but I teach a 14 week data engineering bootcamp if you're interested to find out more: https://dataengineercamp.com/
awesome-readme
- Readme: A Curated List of READMEs
- Awesome Readme: A Curated List of READMEs
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Hacktoberfest 2023 Update from Maintainer of the user-statistician GitHub Action
About user-statistician
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Hacktoberfest 2023 Contributors Wanted: Additional Translations for the user-statistician GitHub Action
The user-statistician GitHub Action can generate an SVG with a detailed summary of your activity on GitHub. It is mentioned in the tools section of the awesome README awesome list. The SVG it generates includes general information about you (e.g., year you joined, number of followers, number you are following, most starred repository, etc), information about your repositories (e.g., numbers of stars and forks, etc), information about your contributions (e.g., numbers of commits, issues, PRs, etc), and the distribution of languages within your public repositories.
- Mastering Readme Files
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Marketing for Developers
If you really want a stellar README.md take a look at some of the examples in awesome-readme for inspiration!
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How to Create the Best README for Your GitHub Project
Awesome README - A collection of high-quality READMEs from a variety of projects, organized by topic. https://github.com/matiassingers/awesome-readme
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How to create projects for myself to enrich my resume?
Provide a succinct and comprehensive README: readers of your personal project will always start with the README to know where to begin. The goal of the README is to provide the reader an understanding of the business problem you are trying to solve, how your solution goes about solving it (solution architecture diagram), and how to get started and run your code. There are plenty of great README examples here: https://github.com/matiassingers/awesome-readme
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Configuring GitHub's Linguist to Improve Repository Language Reporting
About user-statistician
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The user-statistician GitHub Action mentioned in Awesome-README
Recently, the user-statistician GitHub Action was added to the tools section of Awesome README, which is an Awesome List that includes a curated collection of examples of Awesome READMEs from open source projects, as well as tools enabling creating Awesome READMEs. The Awesome README list is a great place to go if you are looking for ideas for how to improve the READMEs of your open source projects. The Awesome README list covers READMEs more generally, but the tools section includes a few tools focused on Profile READMEs, in addition to many tools for project READMEs more generally. The user-statistician GitHub Action is in the Tools Section.
What are some alternatives?
black - The uncompromising Python code formatter
revo-grid - Powerful virtual data grid smartsheet with advanced customization. Best features from excel plus incredible performance 🔋
sqlfluff - A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
Konva - Konva.js is an HTML5 Canvas JavaScript framework that extends the 2d context by enabling canvas interactivity for desktop and mobile applications.
diataxis-documentation-framework - A systematic approach to creating better documentation.
Apache AGE - Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL. [Moved to: https://github.com/apache/age]
data-engineering-zoomcamp - Free Data Engineering course!
amplify-cli - The AWS Amplify CLI is a toolchain for simplifying serverless web and mobile development.
spring-rest-crud-example - Use this repository as a basis to start the development of a new Java REST API.
minio-py - MinIO Client SDK for Python
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
open-source-promotion-cheat-sheet - 📄 How to promote my open source project?