> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kamu.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# First Steps

export const Diagram = ({src, alt}) => {
  return <div style={{
    display: "flex",
    "flex-direction": "column",
    "align-items": "center"
  }}>
    <img src={src} alt={alt} style={{
    background: "#dddddd",
    "margin-bottom": 0
  }} />
    <span>{alt}</span>
  </div>;
};

export const YouTubeList = ({id}) => {
  const src = `https://www.youtube.com/embed/videoseries?list=${id}`;
  return <iframe className="w-full aspect-video rounded-xl" src={src} allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowFullScreen></iframe>;
};

export const YouTube = ({id, width}) => {
  const src = `https://www.youtube.com/embed/${id}`;
  return <iframe className="w-full aspect-video rounded-xl" src={src} allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowFullScreen width={width}></iframe>;
};

export const Schema = ({t, id}) => {
  const anchor = id ? id : t.toLowerCase().replace(/\s+/g, "-");
  const link = `/odf/schemas#${anchor}`;
  return <a class="schema-object" href={link}>{t}</a>;
};

export const Term = ({t, id}) => {
  const anchor = id ? id : t.toLowerCase().replace(/\s+/g, "-");
  const link = `/general/glossary#${anchor}`;
  return <a class="glossary-term" href={link}>{t}</a>;
};

Hi, and welcome to `kamu` - a **planet-scale data pipeline** that can run on your laptop!

`kamu` is an innovative project with unique design - it takes some time to wrap your head around. To help you in this journey we have outlined the recommended sequence of steps for you below.

You can always get help or share feedback along the way in our [community channels](/community).

## To get started

<Steps>
  <Step>
    Go through [Kamu 101](https://www.youtube.com/playlist?list=PLV91cS45lwVG20Hicztbv7hsjN6x69MJk) series of videos to get a taste of what `kamu` is about
  </Step>

  <Step>
    Take a self-guided tour in our [online tutorial](/start/tutorial)
  </Step>

  <Step>
    [Install](/cli/install) `kamu` on your laptop
  </Step>

  <Step>
    Get to know it through [quick start](/cli/quick-start) guide and try out the [advanced examples](/examples)
  </Step>

  <Step>
    Join our data science community on [Discord](https://discord.gg/nU6TXRQNXC)
  </Step>

  <Step>
    Learn about architecture and design choices behind our data formats and protocols from our [conference talks](/start/learning-materials)
  </Step>

  <Step>
    Do a deep dive into [Open Data Fabric](/odf) protocol specification
  </Step>
</Steps>