Google Cloud Dataflow might be a bit more popular than Vim. We know about 14 links to it since March 2021 and only 10 links to Vim. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Lua is quite small, encouraging distros to include it. The ubuntu gvim has, and the gvim AppImage linked from vim.org does. The default Makefile from github is set up to not include it, but you can uncomment one line there to get it. Source: about 2 years ago
I've not used vimwiki locally (tho I'm old enough to remember the Vim wiki on vim.org :), but I think what you are wanting to do is extend vimwiki's syntax file. I presume it installs one at $VIMRUNTIM/syntax or or ~/.vim/syntax. If this sounds right, then create a ~/.vim/after/syntax/vimwiki.vim file and place your match command in there. Then everytime you open a vimwiki file it should apply your... Source: over 2 years ago
Vim.org has 242k total visitors, tailwindcss.com has 4.4m, planetscale.com has 412k, jpl.nasa.gov has 2.6m, all built with Tailwind, all several years younger than Vim's website. Unnecessary comparison, unnecessary defence. It's a valuable tool, fine, but a complete disregard for anyone who doesn't love a crappy website and would like to navigate a website like a normal human is not something to be defended. Maybe... Source: over 2 years ago
I write in Vim with some customizations in my vimrc to gear it more towards prose writing than code editing. It's not pretty, but Normal Mode and Ex commands are the most powerful text editing tools out there, so that means I spend less time on making corrections and other edits. Source: about 3 years ago
If you are open minded and would like to try it out, click me for more information! Cheers. - Source: dev.to / over 3 years ago
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 2 years ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 2 years ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 2 years ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 2 years ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 3 years ago
VS Code - Build and debug modern web and cloud applications, by Microsoft
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Notepad++ - A free source code editor which supports several programming languages running under the MS Windows environment.
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.