noteworthy
Noteworthy is a collection of experimental meta-protocols for building, deploying and managing distributed overlay networks. (by decentralabs)
data_engineering_on_gcp_book
A book describing how to set up and maintain Data Engineering infrastructure using Google Cloud Platform. (by Nunie123)
| noteworthy | data_engineering_on_gcp_book | |
|---|---|---|
| 3 | 12 | |
| 27 | 116 | |
| - | - | |
| 7.4 | 2.6 | |
| about 3 years ago | about 3 years ago | |
| Python | ||
| GNU Affero General Public License v3.0 | - |
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.
noteworthy
Posts with mentions or reviews of noteworthy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-18.
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Zerotier - VPS to expose Ports 80 and 443 on internal device
Should be possible. Check out https://noteworthy.tech for a solution that does the same with WireGuard
- Easily expose local docker containers to the web. A self-hosted ngrok, Argo Tunnel alternative.
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What is your “I don't care if this succeeds” project?
Self-hosted ngrok alterntive: https://github.com/decentralabs/noteworthy
Host your shit at home without exposing ports to the world.
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
What are some alternatives?
When comparing noteworthy and data_engineering_on_gcp_book you can also consider the following projects:
vopono - Run applications through VPN tunnels with temporary network namespaces
shotcaller - A moddable RTS/MOBA game made with bracket-lib and minigene.
DiscordOverlayLinux - A QT/X11 based Discord overlay
FactGraph - FactGraph monorepo (backend + frontend + landing page + blog)
commutative-algebra - An introduction to the basic ideas of commutative algebra
beubo - Beubo is a free, simple, and minimal CMS with unlimited extensibility using plugins
distribyted - Torrent client with HTTP, fuse, and WebDAV interfaces. Start exploring your torrent files right away, even zip, rar, or 7zip archive contents!
Nebula - A scalable overlay networking tool with a focus on performance, simplicity and security
go-plugin - Golang plugin system over RPC.
listudy - Listudy - chess training server
dali - Indie assembler/linker for Dalvik VM .dex & .apk files (Work In Progress)
noteworthy vs vopono
data_engineering_on_gcp_book vs shotcaller
noteworthy vs DiscordOverlayLinux
data_engineering_on_gcp_book vs FactGraph
noteworthy vs commutative-algebra
data_engineering_on_gcp_book vs beubo
noteworthy vs FactGraph
data_engineering_on_gcp_book vs distribyted
noteworthy vs Nebula
data_engineering_on_gcp_book vs go-plugin
noteworthy vs listudy
data_engineering_on_gcp_book vs dali