This is an automated email from the ASF dual-hosted git repository.
shangxinli pushed a commit to branch production
in repository https://gitbox.apache.org/repos/asf/parquet-site.git
The following commit(s) were added to refs/heads/production by this push:
new fd06684 Updating tagline and readme
new ca448ee Merge pull request #21 from
vinooganesh/vinooganesh/updateTaglineAndReadme
fd06684 is described below
commit fd06684e50a806e94de04f8ecb461efe4f65ab83
Author: Vinoo Ganesh <[email protected]>
AuthorDate: Sat Mar 26 14:50:44 2022 -0400
Updating tagline and readme
---
README.md | 6 ++++++
content/en/_index.html | 2 +-
2 files changed, 7 insertions(+), 1 deletion(-)
diff --git a/README.md b/README.md
index cf9af73..cd21993 100644
--- a/README.md
+++ b/README.md
@@ -28,6 +28,12 @@ To run this website site locally, run the following in the
root of the directory
hugo server
```
+# Release Documentation
+
+To create documentation for a new release of `parquet-format` create a new
<releaseNumber>.md file under `content/en/blog/parquet-format`. Please see
existing files in that directory as an example.
+
+To create documentation for a new release of `parquet-mr` create a new
<releaseNumber>.md file under `content/en/blog/parquet-mr`. Please see existing
files in that directory as an example.
+
# Website development and deployment
## Staging
diff --git a/content/en/_index.html b/content/en/_index.html
index 52318a9..08218d8 100644
--- a/content/en/_index.html
+++ b/content/en/_index.html
@@ -12,7 +12,7 @@ linkTitle = "Parquet"
<a class="btn btn-lg btn-secondary mr-3 mb-4" href="{{< relref "/blog"
>}}">
Download <i class="fas fa-download ml-2 "></i>
</a>
- <p class="lead mt-5">Apache Parquet is a columnar storage format
available to any project in the Hadoop ecosystem, regardless of the choice of
data processing framework, data model or programming language.</p>
+ <p class="lead mt-5">Apache Parquet is an open source, column-oriented
data file format designed for efficient data storage and retrieval. It provides
efficient data compression and encoding schemes with enhanced performance to
handle complex data in bulk. Parquet is available in multiple languages
including Java, C++, Python, etc...</p>
{{< blocks/link-down color="info" >}}
</div>
{{< /blocks/cover >}}
