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tmux might be a bit more popular than Apache Parquet. We know about 26 links to it since March 2021 and only 19 links to Apache Parquet. 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.
The Apache Spark / Databricks community prefers Apache parquet or Linux Fundation's delta.io over json. Source: 6 months ago
Apache Parquet (Parquet for short), which nowadays is an industry standard to store columnar data on disk. It compress the data with high efficiency and provides fast read and write speeds. As written in the Arrow documentation, "Arrow is an ideal in-memory transport layer for data that is being read or written with Parquet files". - Source: dev.to / about 1 year ago
Googling that suggests this page: https://parquet.apache.org/. Source: about 1 year ago
You should also consider distribution of data because in a company that has machine learning workflows, the same data may need to go through different workflows using different technologies and stored in something other than a data warehouse, e.g. Feature engineering in Spark and loaded/stored in binary format such as Parquet in a data lake/object store. Source: over 1 year ago
This section will teach you how to read and write data to and from a variety of file types, including CSV, Excel, SQL, HTML, Parquet, JSON etc. You’ll also learn how to manipulate data from other sources, such as databases and web sites. Source: over 1 year ago
Having a common set of tools already set up in different windows or sessions in Tmux or Zellij is obviously an option, but there is a subset of us ( 👋 ) that would rather just have fingertip access to our common tools inside of our editor. - Source: dev.to / 3 months ago
Well, I now use tmux and tmuxinator. I have had many failed tmux attempts over the years, but I'm firmly bedded in now. - Source: dev.to / 5 months ago
The downside of overmind is that it requires tmux, which is a terminal multiplexer tool. If you don't already use tmux, I'd say it's probably not worth learning it just for the purposes of using overmind. But if you're like me and already know/use tmux, this can be a great solution to pursue. - Source: dev.to / 6 months ago
For splitting the terminal you could try either toggleterm or tmux. If you want to send things from one tmux pane to another, then you can use slime. For a toggle-able filetree, you can use nvim tree. Source: 8 months ago
Another reason the above setup is helpful is that I use terminal vim in conjunction with Tmux. I always configure my IDE where vim is about 75% of my terminal window, on the left. The other 25% is a command line. In tmux, you can "zoom in" to a tmux pane by using Leader+z (for default tmux, this is "Ctrl+b z"). This effectively allows me to focus on vim but pop out a command line when I need it. Having the three... Source: over 1 year ago
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Alacritty - Alacritty is a blazing fast, GPU accelerated terminal emulator.
Apache Arrow - Apache Arrow is a cross-language development platform for in-memory data.
wezterm - GPU-accelerated cross-platform terminal emulator and multiplexer made with Rust.
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
iTerm2 - A terminal emulator for macOS that does amazing things.