docs: Add ingestion source logos grid (#2525)
1
docs-website/.gitignore
vendored
@ -20,3 +20,4 @@
|
||||
npm-debug.log*
|
||||
yarn-debug.log*
|
||||
yarn-error.log*
|
||||
.vscode
|
||||
@ -11,13 +11,13 @@
|
||||
"serve": "docusaurus serve",
|
||||
"clear": "docusaurus clear && rm -rf genDocs/*",
|
||||
"generate": "rm -rf genDocs/* && ts-node generateDocsDir.ts",
|
||||
"lint": "prettier -w generateDocsDir.ts sidebars.js",
|
||||
"lint-check": "prettier -l generateDocsDir.ts sidebars.js"
|
||||
"lint": "prettier -w generateDocsDir.ts sidebars.js src/pages/index.js",
|
||||
"lint-check": "prettier -l generateDocsDir.ts sidebars.js src/pages/index.js"
|
||||
},
|
||||
"dependencies": {
|
||||
"@docusaurus/core": "2.0.0-alpha.69",
|
||||
"@docusaurus/preset-classic": "2.0.0-alpha.69",
|
||||
"@docusaurus/plugin-ideal-image": "2.0.0-alpha.69",
|
||||
"@docusaurus/preset-classic": "2.0.0-alpha.69",
|
||||
"clsx": "^1.1.1",
|
||||
"react": "^16.12.0",
|
||||
"react-dom": "^16.12.0"
|
||||
@ -35,7 +35,7 @@
|
||||
]
|
||||
},
|
||||
"devDependencies": {
|
||||
"prettier": "^2.2.1",
|
||||
"prettier": "^2.3.0",
|
||||
"ts-node": "^9.1.1",
|
||||
"typescript": "^4.1.5"
|
||||
}
|
||||
|
||||
@ -1,119 +1,206 @@
|
||||
import React from 'react';
|
||||
import clsx from 'clsx';
|
||||
import Layout from '@theme/Layout';
|
||||
import Link from '@docusaurus/Link';
|
||||
import useDocusaurusContext from '@docusaurus/useDocusaurusContext';
|
||||
import useBaseUrl from '@docusaurus/useBaseUrl';
|
||||
import styles from './styles.module.css';
|
||||
import React from "react";
|
||||
import clsx from "clsx";
|
||||
import Layout from "@theme/Layout";
|
||||
import Link from "@docusaurus/Link";
|
||||
import useDocusaurusContext from "@docusaurus/useDocusaurusContext";
|
||||
import useBaseUrl from "@docusaurus/useBaseUrl";
|
||||
import styles from "./styles.module.css";
|
||||
|
||||
import Image from '@theme/IdealImage';
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||||
import CodeBlock from '@theme/CodeBlock';
|
||||
import LogoLinkedin from './logos/linkedin.svg';
|
||||
import LogoExpedia from './logos/expedia.svg';
|
||||
import LogoSaxo from './logos/SaxoBank.svg';
|
||||
import LogoGrofers from './logos/grofers.png';
|
||||
import LogoTypeform from './logos/typeform.svg';
|
||||
import LogoSpothero from './logos/SpotHero.png';
|
||||
import LogoGeotab from './logos/geotab.jpg';
|
||||
import LogoThoughtworks from './logos/Thoughtworks.png';
|
||||
import LogoViasat from './logos/viasat.png';
|
||||
import LogoKlarna from './logos/klarna.svg';
|
||||
import LogoWolt from './logos/wolt.png';
|
||||
import Image from "@theme/IdealImage";
|
||||
import CodeBlock from "@theme/CodeBlock";
|
||||
// logos for companies using
|
||||
import LogoLinkedin from "./logos/linkedin.svg";
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||||
import LogoExpedia from "./logos/expedia.svg";
|
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import LogoSaxo from "./logos/SaxoBank.svg";
|
||||
import LogoGrofers from "./logos/grofers.png";
|
||||
import LogoTypeform from "./logos/typeform.svg";
|
||||
import LogoSpothero from "./logos/SpotHero.png";
|
||||
import LogoGeotab from "./logos/geotab.jpg";
|
||||
import LogoThoughtworks from "./logos/Thoughtworks.png";
|
||||
import LogoViasat from "./logos/viasat.png";
|
||||
import LogoKlarna from "./logos/klarna.svg";
|
||||
import LogoWolt from "./logos/wolt.png";
|
||||
// logos for ingestion sources
|
||||
import LogoAirflow from "./logos/airflow.svg";
|
||||
import LogoAthena from "./logos/athena.png";
|
||||
import LogoBigquery from "./logos/bigquery.svg";
|
||||
import LogoDbt from "./logos/dbt.png";
|
||||
import LogoDruid from "./logos/druid.svg";
|
||||
import LogoGlue from "./logos/glue.png";
|
||||
import LogoHive from "./logos/hive.svg";
|
||||
import LogoKafka from "./logos/kafka.svg";
|
||||
import LogoLdap from "./logos/ldap.png";
|
||||
import LogoLooker from "./logos/looker.svg";
|
||||
import LogoMongodb from "./logos/mongodb.svg";
|
||||
import LogoMssql from "./logos/mssql.svg";
|
||||
import LogoMysql from "./logos/mysql.svg";
|
||||
import LogoOracle from "./logos/oracle.svg";
|
||||
import LogoPostgres from "./logos/postgres.png";
|
||||
import LogoSnowflake from "./logos/snowflake.svg";
|
||||
import LogoSpark from "./logos/spark.svg";
|
||||
import LogoSuperset from "./logos/superset.svg";
|
||||
|
||||
const features = [
|
||||
{
|
||||
title: 'Open Source',
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||||
imageUrl: 'img/undraw_open_source_1qxw.svg',
|
||||
title: "Open Source",
|
||||
imageUrl: "img/undraw_open_source_1qxw.svg",
|
||||
description: (
|
||||
<>
|
||||
DataHub was originally <Link to={"https://engineering.linkedin.com/blog/2019/data-hub"}>built
|
||||
at LinkedIn</Link> and subsequently <Link to={"https://github.com/linkedin/datahub"}>open-sourced</Link> under
|
||||
the Apache 2.0 License. It now has a thriving community with over 75 contributors, and many
|
||||
organizations are trying out or already using DataHub internally.
|
||||
DataHub was originally{" "}
|
||||
<Link to={"https://engineering.linkedin.com/blog/2019/data-hub"}>
|
||||
built at LinkedIn
|
||||
</Link>{" "}
|
||||
and subsequently{" "}
|
||||
<Link to={"https://github.com/linkedin/datahub"}>open-sourced</Link>{" "}
|
||||
under the Apache 2.0 License. It now has a thriving community with over
|
||||
75 contributors, and many organizations are trying out or already using
|
||||
DataHub internally.
|
||||
</>
|
||||
),
|
||||
},
|
||||
{
|
||||
title: 'Forward Looking Architecture',
|
||||
imageUrl: 'img/undraw_building_blocks_n0nc.svg',
|
||||
title: "Forward Looking Architecture",
|
||||
imageUrl: "img/undraw_building_blocks_n0nc.svg",
|
||||
description: (
|
||||
<>
|
||||
DataHub follows a <Link to={"https://engineering.linkedin.com/blog/2020/datahub-popular-metadata-architectures-explained"}>push-based architecture</Link>,
|
||||
which means it's built for continuously changing metadata.
|
||||
The modular design lets it scale with data growth at any organization, from a
|
||||
single database under your desk to multiple data centers spanning the globe.
|
||||
DataHub follows a{" "}
|
||||
<Link
|
||||
to={
|
||||
"https://engineering.linkedin.com/blog/2020/datahub-popular-metadata-architectures-explained"
|
||||
}
|
||||
>
|
||||
push-based architecture
|
||||
</Link>
|
||||
, which means it's built for continuously changing metadata. The modular
|
||||
design lets it scale with data growth at any organization, from a single
|
||||
database under your desk to multiple data centers spanning the globe.
|
||||
</>
|
||||
),
|
||||
},
|
||||
{
|
||||
title: 'Massive Ecosystem',
|
||||
imageUrl: 'img/undraw_online_connection_6778.svg',
|
||||
title: "Massive Ecosystem",
|
||||
imageUrl: "img/undraw_online_connection_6778.svg",
|
||||
description: (
|
||||
// TODO: update the integrations link to scroll down the page.
|
||||
<>
|
||||
DataHub has pre-built integrations with your favorite systems:
|
||||
Kafka, MySQL, SQL Server, Postgres, LDAP, Snowflake, Hive, BigQuery, and <Link
|
||||
to={"docs/metadata-ingestion"}>many others</Link>.
|
||||
The community is continuously adding more integrations, so this list keeps getting longer and longer.
|
||||
DataHub has pre-built integrations with your favorite systems: Kafka,
|
||||
MySQL, SQL Server, Postgres, LDAP, Snowflake, Hive, BigQuery, and{" "}
|
||||
<Link to={"docs/metadata-ingestion"}>many others</Link>. The community
|
||||
is continuously adding more integrations, so this list keeps getting
|
||||
longer and longer.
|
||||
</>
|
||||
),
|
||||
},
|
||||
];
|
||||
|
||||
const svgFormatter = (Logo, className) => {
|
||||
return <Logo className={clsx(styles.logo_image, className)} width="100%" height="100%" />;
|
||||
}
|
||||
return (
|
||||
<Logo
|
||||
className={clsx(styles.logo_image, className)}
|
||||
width="100%"
|
||||
height="100%"
|
||||
/>
|
||||
);
|
||||
};
|
||||
const pngFormatter = (src, className) => {
|
||||
return <Image className={clsx(styles.logo_image, className)} img={src} width="100%" />
|
||||
}
|
||||
return (
|
||||
<Image
|
||||
className={clsx(styles.logo_image, className)}
|
||||
img={src}
|
||||
width="100%"
|
||||
/>
|
||||
);
|
||||
};
|
||||
|
||||
const logos = [
|
||||
const companyLogos = [
|
||||
{
|
||||
name: 'LinkedIn',
|
||||
name: "LinkedIn",
|
||||
image: svgFormatter(LogoLinkedin),
|
||||
},
|
||||
{
|
||||
name: 'Expedia Group',
|
||||
name: "Expedia Group",
|
||||
image: svgFormatter(LogoExpedia),
|
||||
},
|
||||
{
|
||||
name: 'Saxo Bank',
|
||||
name: "Saxo Bank",
|
||||
image: svgFormatter(LogoSaxo, clsx(styles.logo_image_small)),
|
||||
},
|
||||
{
|
||||
name: 'Grofers',
|
||||
name: "Grofers",
|
||||
image: pngFormatter(LogoGrofers),
|
||||
},
|
||||
{
|
||||
name: 'Typeform',
|
||||
name: "Typeform",
|
||||
image: svgFormatter(LogoTypeform),
|
||||
},
|
||||
{
|
||||
name: 'SpotHero',
|
||||
name: "SpotHero",
|
||||
image: pngFormatter(LogoSpothero, clsx(styles.logo_image_small)),
|
||||
},
|
||||
{
|
||||
name: 'Geotab',
|
||||
name: "Geotab",
|
||||
image: pngFormatter(LogoGeotab),
|
||||
},
|
||||
{
|
||||
name: 'ThoughtWorks',
|
||||
name: "ThoughtWorks",
|
||||
image: pngFormatter(LogoThoughtworks, clsx(styles.logo_image_large)),
|
||||
},
|
||||
{
|
||||
name: 'Viasat',
|
||||
name: "Viasat",
|
||||
image: pngFormatter(LogoViasat),
|
||||
},
|
||||
{
|
||||
name: 'Klarna',
|
||||
name: "Klarna",
|
||||
image: svgFormatter(LogoKlarna),
|
||||
},
|
||||
{
|
||||
name: 'Wolt',
|
||||
name: "Wolt",
|
||||
image: pngFormatter(LogoWolt, clsx(styles.logo_image_square)),
|
||||
},
|
||||
];
|
||||
|
||||
const sourceLogos = [
|
||||
{
|
||||
name: "Airflow",
|
||||
image: svgFormatter(LogoAirflow),
|
||||
},
|
||||
{
|
||||
name: "Athena",
|
||||
image: pngFormatter(LogoAthena, clsx(styles.logo_image_square)),
|
||||
},
|
||||
{
|
||||
name: "BigQuery",
|
||||
image: svgFormatter(LogoBigquery, clsx(styles.logo_image_large)),
|
||||
},
|
||||
{ name: "DBT", image: pngFormatter(LogoDbt, clsx(styles.logo_image_large)) },
|
||||
{ name: "Druid", image: svgFormatter(LogoDruid) },
|
||||
{
|
||||
name: "Glue",
|
||||
image: pngFormatter(LogoGlue, clsx(styles.logo_image_large)),
|
||||
},
|
||||
{
|
||||
name: "Hive",
|
||||
image: svgFormatter(LogoHive, clsx(styles.logo_image_square)),
|
||||
},
|
||||
{ name: "Kafka", image: svgFormatter(LogoKafka) },
|
||||
{ name: "Looker", image: svgFormatter(LogoLooker) },
|
||||
{
|
||||
name: "LDAP",
|
||||
image: pngFormatter(LogoLdap, clsx(styles.logo_image_square)),
|
||||
},
|
||||
{ name: "MongoDB", image: svgFormatter(LogoMongodb) },
|
||||
{ name: "MSSQL", image: svgFormatter(LogoMssql) },
|
||||
{ name: "MySQL", image: svgFormatter(LogoMysql) },
|
||||
{ name: "Oracle", image: svgFormatter(LogoOracle) },
|
||||
{ name: "PostgreSQL", image: pngFormatter(LogoPostgres) },
|
||||
{ name: "Snowflake", image: svgFormatter(LogoSnowflake) },
|
||||
{ name: "Spark", image: svgFormatter(LogoSpark) },
|
||||
{
|
||||
name: "Superset",
|
||||
image: svgFormatter(LogoSuperset, clsx(styles.logo_image_large)),
|
||||
},
|
||||
];
|
||||
|
||||
const example_recipe = `
|
||||
source:
|
||||
type: "mysql"
|
||||
@ -125,12 +212,12 @@ sink:
|
||||
type: "datahub-rest"
|
||||
config:
|
||||
server: 'http://localhost:8080'`.trim();
|
||||
const example_recipe_run = "datahub ingest -c recipe.yml"
|
||||
const example_recipe_run = "datahub ingest -c recipe.yml";
|
||||
|
||||
function Feature({ imageUrl, title, description }) {
|
||||
const imgUrl = useBaseUrl(imageUrl);
|
||||
return (
|
||||
<div className={clsx('col col--4', styles.feature)}>
|
||||
<div className={clsx("col col--4", styles.feature)}>
|
||||
{imgUrl && (
|
||||
<div className="text--center">
|
||||
<img className={styles.featureImage} src={imgUrl} alt={title} />
|
||||
@ -148,38 +235,56 @@ function Home() {
|
||||
return (
|
||||
<Layout
|
||||
title={siteConfig.tagline}
|
||||
description="DataHub is a data discovery application built on an extensible metadata platform that helps you tame the complexity of diverse data ecosystems.">
|
||||
<header className={clsx('hero', styles.heroBanner)}>
|
||||
description="DataHub is a data discovery application built on an extensible metadata platform that helps you tame the complexity of diverse data ecosystems."
|
||||
>
|
||||
<header className={clsx("hero", styles.heroBanner)}>
|
||||
<div className="container">
|
||||
<div className="row">
|
||||
<div className="col col--6">
|
||||
<h1 className={clsx("hero__title", styles.not_bold_text, styles.centerTextMobile)}>{siteConfig.tagline}</h1>
|
||||
<h1
|
||||
className={clsx(
|
||||
"hero__title",
|
||||
styles.not_bold_text,
|
||||
styles.centerTextMobile
|
||||
)}
|
||||
>
|
||||
{siteConfig.tagline}
|
||||
</h1>
|
||||
<p className={clsx("hero__subtitle", styles.centerTextMobile)}>
|
||||
{/* DataHub helps you understand your data where it lives. */}
|
||||
{/* DataHub is a stream-first metadata platform that powers multiple vertical applications: powerful search & discovery, data ops & data quality, compliance, data management, and access control. */}
|
||||
Data ecosystems are diverse — too diverse. DataHub is a data discovery application built on an extensible metadata platform that helps you tame this complexity.
|
||||
</p>
|
||||
Data ecosystems are diverse — too diverse. DataHub is a
|
||||
data discovery application built on an extensible metadata
|
||||
platform that helps you tame this complexity.
|
||||
</p>
|
||||
<div className={styles.buttons}>
|
||||
<Link
|
||||
className={clsx(
|
||||
'button button--primary button--lg', styles.hero_button, styles.hero_button_cta,
|
||||
"button button--primary button--lg",
|
||||
styles.hero_button,
|
||||
styles.hero_button_cta
|
||||
)}
|
||||
to={useBaseUrl('docs/')}>
|
||||
to={useBaseUrl("docs/")}
|
||||
>
|
||||
Get Started
|
||||
</Link>
|
||||
<Link
|
||||
className={clsx(
|
||||
'button button--secondary button--outline button--lg',
|
||||
"button button--secondary button--outline button--lg",
|
||||
styles.hero_button
|
||||
)}
|
||||
to='https://slack.datahubproject.io'>
|
||||
to="https://slack.datahubproject.io"
|
||||
>
|
||||
Join our Slack
|
||||
</Link>
|
||||
</Link>
|
||||
</div>
|
||||
</div>
|
||||
<div className={clsx("col col--6", styles.bumpUpLogo)}>
|
||||
<div className={clsx("item shadow--tl")}>
|
||||
<img src={useBaseUrl('img/screenshots/demo.gif')} alt="Demo GIF" />
|
||||
<img
|
||||
src={useBaseUrl("img/screenshots/demo.gif")}
|
||||
alt="Demo GIF"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@ -206,12 +311,10 @@ function Home() {
|
||||
</span>
|
||||
</h1>
|
||||
<div className={styles.logo_container}>
|
||||
{logos.map((logo) => (
|
||||
{companyLogos.map((logo) => (
|
||||
<div key={logo.name}>
|
||||
<div className={styles.logo_frame}>
|
||||
<div className={styles.logo_center}>
|
||||
{logo.image}
|
||||
</div>
|
||||
<div className={styles.logo_center}>{logo.image}</div>
|
||||
</div>
|
||||
</div>
|
||||
))}
|
||||
@ -221,39 +324,50 @@ function Home() {
|
||||
<section className={styles.section}>
|
||||
<div className="container">
|
||||
<h1 className={clsx(styles.centerText)}>
|
||||
<span className={styles.larger_on_desktop}>
|
||||
How does it work?
|
||||
</span>
|
||||
<span className={styles.larger_on_desktop}>How does it work?</span>
|
||||
</h1>
|
||||
<div className={clsx("row", styles.section)}>
|
||||
<div className="col col--6">
|
||||
<h2><span className={styles.larger_on_desktop}>
|
||||
Automated Metadata Ingestion
|
||||
</span></h2>
|
||||
<h2>
|
||||
<span className={styles.larger_on_desktop}>
|
||||
Automated Metadata Ingestion
|
||||
</span>
|
||||
</h2>
|
||||
{/* <p>
|
||||
There're two way to get metadata into DataHub: <b>push</b> and <b>pull</b>.
|
||||
</p> */}
|
||||
<p>
|
||||
<b>Push</b>-based ingestion can use a prebuilt emitter or can emit custom events using our framework.
|
||||
<b>Push</b>-based ingestion can use a prebuilt emitter or can
|
||||
emit custom events using our framework.
|
||||
</p>
|
||||
<p>
|
||||
<b>Pull</b>-based ingestion crawls a metadata source. We have prebuilt integrations with
|
||||
Kafka, MySQL, MS SQL, Postgres, LDAP, Snowflake, Hive, BigQuery, and more.
|
||||
Ingestion can be automated using our Airflow integration or another scheduler of choice.
|
||||
<b>Pull</b>-based ingestion crawls a metadata source. We have
|
||||
prebuilt integrations with Kafka, MySQL, MS SQL, Postgres, LDAP,
|
||||
Snowflake, Hive, BigQuery, and more. Ingestion can be automated
|
||||
using our Airflow integration or another scheduler of choice.
|
||||
{/* TODO: add logos for these integration */}
|
||||
</p>
|
||||
<p>
|
||||
DataHub's push-based architecture also supports pull, but pull-first systems cannot support push.
|
||||
Learn more about metadata ingestion with DataHub in the <Link to={'docs/metadata-ingestion'}>docs</Link>.
|
||||
DataHub's push-based architecture also supports pull, but
|
||||
pull-first systems cannot support push. Learn more about
|
||||
metadata ingestion with DataHub in the{" "}
|
||||
<Link to={"docs/metadata-ingestion"}>docs</Link>.
|
||||
</p>
|
||||
</div>
|
||||
<div className="col col--6">
|
||||
<div className={styles.recipe_example}>
|
||||
<div className={styles.recipe_codeblock}>
|
||||
<CodeBlock className={'language-yml'} metastring='title="recipe.yml"'>{example_recipe}</CodeBlock>
|
||||
<CodeBlock
|
||||
className={"language-yml"}
|
||||
metastring='title="recipe.yml"'
|
||||
>
|
||||
{example_recipe}
|
||||
</CodeBlock>
|
||||
</div>
|
||||
<div className={styles.recipe_codeblock}>
|
||||
<CodeBlock className={'language-shell'}>{example_recipe_run}</CodeBlock>
|
||||
<CodeBlock className={"language-shell"}>
|
||||
{example_recipe_run}
|
||||
</CodeBlock>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@ -262,35 +376,68 @@ function Home() {
|
||||
<div className={clsx("row", styles.section)}>
|
||||
<div className="col col--6">
|
||||
<div className={clsx("item shadow--tl", styles.browse_image)}>
|
||||
<img src="img/screenshots/browse.gif" width="100%" alt="Browsing DataHub" />
|
||||
<img
|
||||
src="img/screenshots/browse.gif"
|
||||
width="100%"
|
||||
alt="Browsing DataHub"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
<div className="col col--6">
|
||||
<h2 className={styles.big_margin_top}><span className={styles.larger_on_desktop}>
|
||||
Discover Trusted Data
|
||||
</span></h2>
|
||||
<h2 className={styles.big_margin_top}>
|
||||
<span className={styles.larger_on_desktop}>
|
||||
Discover Trusted Data
|
||||
</span>
|
||||
</h2>
|
||||
<p className={styles.larger_on_desktop}>
|
||||
Browse and search over a continuously updated catalog of datasets, dashboards, charts, ML models, and more.
|
||||
Browse and search over a continuously updated catalog of
|
||||
datasets, dashboards, charts, ML models, and more.
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className={clsx("row", styles.section)}>
|
||||
<div className="col col--6">
|
||||
<h2 className={styles.massive_margin_top}><span className={styles.larger_on_desktop}>
|
||||
Understand Data in Context
|
||||
</span></h2>
|
||||
<h2 className={styles.massive_margin_top}>
|
||||
<span className={styles.larger_on_desktop}>
|
||||
Understand Data in Context
|
||||
</span>
|
||||
</h2>
|
||||
<p className={styles.larger_on_desktop}>
|
||||
DataHub is the one-stop shop for documentation, schemas, ownership, and lineage. Pipelines, usage, and quality information coming soon.
|
||||
DataHub is the one-stop shop for documentation, schemas,
|
||||
ownership, and lineage. Pipelines, usage, and quality
|
||||
information coming soon.
|
||||
</p>
|
||||
</div>
|
||||
<div className="col col--6">
|
||||
<div className={clsx("item shadow--tl", styles.how_third_image)}>
|
||||
<img src="img/screenshots/context.gif" width="100%" alt="DataHub Dataset View" />
|
||||
<img
|
||||
src="img/screenshots/context.gif"
|
||||
width="100%"
|
||||
alt="DataHub Dataset View"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section className={clsx(styles.section, styles.logo_section)}>
|
||||
<div className="container">
|
||||
<h1 className={clsx(styles.centerText, styles.small_padding_bottom)}>
|
||||
<span className={styles.larger_on_desktop}>
|
||||
Supported integrations
|
||||
</span>
|
||||
</h1>
|
||||
<div className={styles.logo_container}>
|
||||
{sourceLogos.map((logo) => (
|
||||
<div key={logo.name}>
|
||||
<div className={styles.logo_frame}>
|
||||
<div className={styles.logo_center}>{logo.image}</div>
|
||||
</div>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
</Layout>
|
||||
|
||||
42
docs-website/src/pages/logos/airflow.svg
Normal file
|
After Width: | Height: | Size: 45 KiB |
BIN
docs-website/src/pages/logos/athena.png
Normal file
|
After Width: | Height: | Size: 21 KiB |
37
docs-website/src/pages/logos/bigquery.svg
Normal file
@ -0,0 +1,37 @@
|
||||
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
|
||||
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
|
||||
<svg width="100%" height="100%" viewBox="0 0 120 45" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve" xmlns:serif="http://www.serif.com/" style="fill-rule:evenodd;clip-rule:evenodd;stroke-linejoin:round;stroke-miterlimit:2;">
|
||||
<g id="g942" transform="matrix(1.0762,0,0,1.0762,-9.20701,-20.9449)">
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||||
<g id="g877" transform="matrix(0.504111,0,0,0.504111,-40.814,-12.0451)">
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||||
<path id="path20" d="M117.79,137.76L99.27,105.68C98.282,103.968 98.282,101.852 99.27,100.14L117.79,68.06C118.777,66.35 120.606,65.293 122.58,65.29L159.64,65.29C161.607,65.3 163.427,66.357 164.41,68.06L182.93,100.14C183.918,101.852 183.918,103.968 182.93,105.68L164.41,137.76C163.423,139.47 161.594,140.527 159.62,140.53L122.57,140.53C120.6,140.524 118.775,139.466 117.79,137.76Z" style="fill:rgb(67,134,250);fill-rule:nonzero;"/>
|
||||
<path id="path22" d="M152.67,92.58C152.67,92.58 157.82,104.93 150.8,111.93C143.78,118.93 131,114.45 131,114.45C131,114.45 150,133.7 157,140.52L159.64,140.52C161.614,140.517 163.443,139.46 164.43,137.75L176.69,116.52L152.67,92.58Z" style="fill-opacity:0.1;fill-rule:nonzero;"/>
|
||||
<path id="path24" d="M158.75,117.85L153.06,112.16C152.998,112.097 152.928,112.043 152.85,112C154.943,109.291 156.08,105.963 156.08,102.54C156.08,94.053 149.096,87.07 140.61,87.07C132.123,87.07 125.14,94.053 125.14,102.54C125.14,111.027 132.123,118.01 140.61,118.01C144.072,118.01 147.436,116.848 150.16,114.71C150.2,114.783 150.251,114.851 150.31,114.91L156,120.6C156.167,120.767 156.394,120.861 156.63,120.861C156.866,120.861 157.093,120.767 157.26,120.6L158.75,119.11C158.917,118.943 159.011,118.716 159.011,118.48C159.011,118.244 158.917,118.017 158.75,117.85ZM140.62,114.17C134.234,114.17 128.98,108.916 128.98,102.53C128.98,96.144 134.234,90.89 140.62,90.89C147.006,90.89 152.26,96.144 152.26,102.53C152.26,108.916 147.006,114.17 140.62,114.17Z" style="fill:white;fill-rule:nonzero;"/>
|
||||
<path id="path26" d="M133.18,101.91L133.18,106.72C133.921,108.028 134.994,109.118 136.29,109.88L136.29,101.88L133.18,101.91Z" style="fill:white;fill-rule:nonzero;"/>
|
||||
<path id="path28" d="M133.18,101.91L133.18,106.72C133.921,108.028 134.994,109.118 136.29,109.88L136.29,101.88L133.18,101.91Z" style="fill:white;fill-rule:nonzero;"/>
|
||||
<path id="path30" d="M139,97.92L139,110.92C140.028,111.109 141.082,111.109 142.11,110.92L142.11,97.92L139,97.92Z" style="fill:white;fill-rule:nonzero;"/>
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||||
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|
||||
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|
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|
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<g id="g913" transform="matrix(0.84199,0,0,0.84199,29.9883,14.8858)">
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|
||||
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After Width: | Height: | Size: 13 KiB |
@ -14,7 +14,7 @@
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.recipe_example {
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margin-left: 3rem;
|
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margin-right:-2rem;
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margin-right: -2rem;
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}
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.recipe_codeblock {
|
||||
margin-bottom: 1em;
|
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@ -22,7 +22,7 @@
|
||||
|
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.how_third_image {
|
||||
margin-left: 4rem;
|
||||
margin-right:-2rem;
|
||||
margin-right: -2rem;
|
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}
|
||||
|
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.bumpUpLogo {
|
||||
@ -162,4 +162,4 @@
|
||||
}
|
||||
.section {
|
||||
padding: 4rem 0;
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}
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}
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||||