data_engineering_on_gcp_book
A book describing how to set up and maintain Data Engineering infrastructure using Google Cloud Platform. (by Nunie123)
decent-signal
A decent WebRTC signalling library. (by theawless)
Our great sponsors
| data_engineering_on_gcp_book | decent-signal | |
|---|---|---|
| 12 | 1 | |
| 116 | 1 | |
| - | - | |
| 2.6 | 0.0 | |
| about 3 years ago | over 2 years ago | |
| JavaScript | ||
| - | MIT License |
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
decent-signal
Posts with mentions or reviews of decent-signal.
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?
I was building a small library [1] for WebRTC signalling by sending the signalling messages over Matrix (or Signal or Discord in future). Once the signalling is completed, the connection could be utilised for anything like peer to peer games, drawing boards, or just plain old chatting.
[1] decent-signal: https://github.com/theawless/decent-signal
What are some alternatives?
When comparing data_engineering_on_gcp_book and decent-signal you can also consider the following projects:
shotcaller - A moddable RTS/MOBA game made with bracket-lib and minigene.
FactGraph - FactGraph monorepo (backend + frontend + landing page + blog)
beubo - Beubo is a free, simple, and minimal CMS with unlimited extensibility using plugins
vopono - Run applications through VPN tunnels with temporary network namespaces
distribyted - Torrent client with HTTP, fuse, and WebDAV interfaces. Start exploring your torrent files right away, even zip, rar, or 7zip archive contents!
Video-Hub-App - Official repository for Video Hub App
go-plugin - Golang plugin system over RPC.
kiwistand - kiwistand is a p2p node client for a web3 writer friendly Hacker News that nobody controls but everybody co-owns
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.
data_engineering_on_gcp_book vs shotcaller
decent-signal vs FactGraph
data_engineering_on_gcp_book vs FactGraph
decent-signal vs shotcaller
data_engineering_on_gcp_book vs beubo
decent-signal vs vopono
data_engineering_on_gcp_book vs distribyted
decent-signal vs Video-Hub-App
data_engineering_on_gcp_book vs go-plugin
decent-signal vs kiwistand
data_engineering_on_gcp_book vs dali
data_engineering_on_gcp_book vs electron-browser-shell