data_engineering_on_gcp_book
A book describing how to set up and maintain Data Engineering infrastructure using Google Cloud Platform. (by Nunie123)
aiohttp_radio
web interface to mpd/icecast radio (by pawnhearts)
| data_engineering_on_gcp_book | aiohttp_radio | |
|---|---|---|
| 12 | 1 | |
| 116 | 3 | |
| - | - | |
| 2.6 | 3.2 | |
| about 3 years ago | 9 months ago | |
| Python | ||
| - | - |
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.
data_engineering_on_gcp_book
Posts with mentions or reviews of data_engineering_on_gcp_book.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-01.
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How possible is it for a beginner to establish pipelines, data warehouse, and visualization solution as a team of 1?
This book will walk you through setting up a complete data engineering stack on GCP: https://github.com/Nunie123/data_engineering_on_gcp_book
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Python & SQL knowledge needed for ETL?
As for resources, this book goes over a lot of these: https://github.com/Nunie123/data_engineering_on_gcp_book. However, this goes over the 'how', not the 'why'. The only method I know for understanding the 'why' is experience. Whether at work or personal projects.
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Learning Python and SQL: What should be my next step?
Here's a good book to follow along to introduce you to common tooling and design patterns: https://github.com/Nunie123/data_engineering_on_gcp_book
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Github Repo with All Data tranformation,Cleaning,Validation
I'm not sure if this is exactly what you're looking for, but here's a book on GitHub that talks about the tools and steps for building data pipelines into a data warehouse: https://github.com/Nunie123/data_engineering_on_gcp_book
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What is the low hanging fruit for a brand new GCP data engineer to learn?
Check out this book: https://github.com/Nunie123/data_engineering_on_gcp_book
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Unsure about overall process of data engineering
If you're interested in example of how to build a complete data engineering infrastructure, you should check out this book: https://github.com/Nunie123/data_engineering_on_gcp_book
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[HELP] Airflow Reverse proxy + load balancer +docker
If you want to try Airflow without the setup headache, you can try Composer on GCP, which is a hosted version of Airflow. I wrote some info on how to do that here: https://github.com/Nunie123/data_engineering_on_gcp_book/blob/master/ch_2_orchestration.md
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Transition from a Quality engineer to Data engineer
This book might be a good resource for you: https://github.com/Nunie123/data_engineering_on_gcp_book
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Accepted a data engineer intern role at a Big N company - how do I learn as much as possible?
If you want a place to start on personal projects you can check out this book, https://github.com/Nunie123/data_engineering_on_gcp_book, which will walk you through the basics of setting up a full data engineering stack.
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What tools, software, programming languages, and etc. does a data engineer need to have in 2021
If you are interested in tooling, here's a free book on setting up a basic data engineering tech stack on GCP: https://github.com/Nunie123/data_engineering_on_gcp_book
aiohttp_radio
Posts with mentions or reviews of aiohttp_radio.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-01.
-
What is your “I don't care if this succeeds” project?
Had a lot of them. Like radio which utilizes mpd. Music can be added via youtube links of uploading. You could vote and talk in a chat. And had telegram bot integration. Had to shut it down, but it's opensource https://github.com/pawnhearts/aiohttp_radio
What are some alternatives?
When comparing data_engineering_on_gcp_book and aiohttp_radio you can also consider the following projects:
shotcaller - A moddable RTS/MOBA game made with bracket-lib and minigene.
listudy - Listudy - chess training server
FactGraph - FactGraph monorepo (backend + frontend + landing page + blog)
scraper - A scraper for EmulationStation written in Go using hashing
beubo - Beubo is a free, simple, and minimal CMS with unlimited extensibility using plugins
commutative-algebra - An introduction to the basic ideas of commutative algebra
distribyted - Torrent client with HTTP, fuse, and WebDAV interfaces. Start exploring your torrent files right away, even zip, rar, or 7zip archive contents!
go-plugin - Golang plugin system over RPC.
dali - Indie assembler/linker for Dalvik VM .dex & .apk files (Work In Progress)
electron-browser-shell - A minimal, tabbed web browser with support for Chrome extensions—built on Electron.
meal-scheduler
scraper - Nodejs web scraper. Contains a command line, docker container, terraform module and ansible roles for distributed cloud scraping. Supported databases: SQLite, MySQL, PostgreSQL. Supported headless clients: Puppeteer, Playwright, Cheerio, JSdom.
data_engineering_on_gcp_book vs shotcaller
aiohttp_radio vs listudy
data_engineering_on_gcp_book vs FactGraph
aiohttp_radio vs scraper
data_engineering_on_gcp_book vs beubo
aiohttp_radio vs commutative-algebra
data_engineering_on_gcp_book vs distribyted
data_engineering_on_gcp_book vs go-plugin
data_engineering_on_gcp_book vs dali
data_engineering_on_gcp_book vs electron-browser-shell
data_engineering_on_gcp_book vs meal-scheduler
data_engineering_on_gcp_book vs scraper