data_engineering_on_gcp_book
listudy
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data_engineering_on_gcp_book | listudy | |
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12 | 34 | |
116 | 262 | |
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2.6 | 4.5 | |
about 3 years ago | 11 months ago | |
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- | GNU Affero General Public License v3.0 |
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data_engineering_on_gcp_book
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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
listudy
- Listudy: Improve your chess skills with the help of spaced repetition
- Rebuilding Memchess.com from Its Archive
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How do you chess maniacs visualize the board so clearly?
It comes with experience. There is a website called listudy.org that has a section called “Blind Tactics” that might help with visualization.
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The Best Chess Resources 2nd Edition
Listudy: Memorise openings with spaced repetition. Chess Endgame Training Chessercise: Practice chess with YouTube. Chess Madra: Build and practise an opening repertoire. Aimchess: Learn your strengths and weaknesses.
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Opening Books Practice Partner
If you are trying to practice a certain opening, I would highly recommend listudy.org just to build that spaced repetition in your head.
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How do you memorize certain openings
I find https://listudy.org very useful for drilling lines. I don't see it mentioned often, but it allows you to import any lichess study (selfmade or other) into it and it'll pick a random line that's up to you to correctly play out until the end. Works very well if you do it enough
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I know slow time controls are best.. but what openings should I play to improve the fastest.
I use private Lichess Studies to store/build my repertoire. Start "choosing" your preferred responses to various opening moves and store them there. Start 1 move deep at a time and branch out slowly. At low level of play it's actually better to go just a few moves deep and have some canned responses to common bad moves from your opponents. You can import your lichess study into listudy.org which turns your saved opening prep into spaced repetition exercises to practice.
- How do I practice openings on lichess?
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A tool to memorize chess openings?
listudy.org
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FEATURE REKWEST - Lichess Opening Drills
Second, you can check out https://listudy.org which can do this with lichess studies.
What are some alternatives?
shotcaller - A moddable RTS/MOBA game made with bracket-lib and minigene.
lichobile - lichess.org mobile application
FactGraph - FactGraph monorepo (backend + frontend + landing page + blog)
exomind - A personal knowledge management tool hosted on your own personal cloud
beubo - Beubo is a free, simple, and minimal CMS with unlimited extensibility using plugins
stockfish.wasm - WebAssembly port of the strong chess engine Stockfish
distribyted - Torrent client with HTTP, fuse, and WebDAV interfaces. Start exploring your torrent files right away, even zip, rar, or 7zip archive contents!
lila - ♞ lichess.org: the forever free, adless and open source chess server ♞
go-plugin - Golang plugin system over RPC.
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.
dali - Indie assembler/linker for Dalvik VM .dex & .apk files (Work In Progress)
openingtree - Consolidated view of all your chess games from chess.com, lichess, grandmaster games or custom pgn.