docs: update homepage text (#2612)

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Harshal Sheth 2021-05-26 17:17:09 -07:00 committed by GitHub
parent acef397ece
commit de7bf6120b
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2 changed files with 6 additions and 8 deletions

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@ -133,7 +133,7 @@ function markdown_guess_title(
if (filepath in hardcoded_descriptions) { if (filepath in hardcoded_descriptions) {
contents.data.description = hardcoded_descriptions[filepath]; contents.data.description = hardcoded_descriptions[filepath];
} }
if (filepath in hardcoded_hide_title) { if (hardcoded_hide_title.includes(filepath)) {
contents.data.hide_title = true; contents.data.hide_title = true;
} }
} else { } else {

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@ -86,13 +86,12 @@ const features = [
title: "Massive Ecosystem", title: "Massive Ecosystem",
imageUrl: "img/undraw_online_connection_6778.svg", imageUrl: "img/undraw_online_connection_6778.svg",
description: ( description: (
// TODO: update the integrations link to scroll down the page.
<> <>
DataHub has pre-built integrations with your favorite systems: Kafka, DataHub has pre-built integrations with your favorite systems: Kafka,
MySQL, SQL Server, Postgres, LDAP, Snowflake, Hive, BigQuery, and{" "} Airflow, MySQL, SQL Server, Postgres, LDAP, Snowflake, Hive, BigQuery,
<Link to={"docs/metadata-ingestion"}>many others</Link>. The community and <Link to={"docs/metadata-ingestion"}>many others</Link>. The
is continuously adding more integrations, so this list keeps getting community is continuously adding more integrations, so this list keeps
longer and longer. getting longer and longer.
</> </>
), ),
}, },
@ -420,7 +419,6 @@ function Home() {
prebuilt integrations with Kafka, MySQL, MS SQL, Postgres, LDAP, prebuilt integrations with Kafka, MySQL, MS SQL, Postgres, LDAP,
Snowflake, Hive, BigQuery, and more. Ingestion can be automated Snowflake, Hive, BigQuery, and more. Ingestion can be automated
using our Airflow integration or another scheduler of choice. using our Airflow integration or another scheduler of choice.
{/* TODO: add logos for these integration */}
</p> </p>
<p> <p>
DataHub's push-based architecture also supports pull, but DataHub's push-based architecture also supports pull, but
@ -480,7 +478,7 @@ function Home() {
</h2> </h2>
<p className={styles.larger_on_desktop}> <p className={styles.larger_on_desktop}>
DataHub is the one-stop shop for documentation, schemas, DataHub is the one-stop shop for documentation, schemas,
ownership, and lineage. Pipelines, usage, and quality ownership, lineage, and pipelines. Usage and data quality
information coming soon. information coming soon.
</p> </p>
</div> </div>