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The following commit(s) were added to refs/heads/main by this push:
new 5fc9f40e4da Improve project descriptions (#606)
5fc9f40e4da is described below
commit 5fc9f40e4daaf5031c349128736894e4e35c4ba8
Author: Ian Cook <[email protected]>
AuthorDate: Fri Feb 21 23:20:10 2025 -0500
Improve project descriptions (#606)
This updates the project description in a few places that #549 missed.
See the rationale at https://github.com/apache/arrow/issues/44474.
---
_config.yml | 2 +-
arrow.rdf | 4 ++--
faq.md | 2 +-
index.html | 2 +-
overview.md | 2 +-
5 files changed, 6 insertions(+), 6 deletions(-)
diff --git a/_config.yml b/_config.yml
index d3dbba824bc..93303bdc790 100644
--- a/_config.yml
+++ b/_config.yml
@@ -57,7 +57,7 @@ sass:
baseurl:
title: "Apache Arrow"
-description: "Apache Arrow is a cross-language development platform for
in-memory data. It specifies a standardized language-independent columnar
memory format for flat and hierarchical data, organized for efficient analytic
operations on modern hardware. It also provides computational libraries and
zero-copy streaming messaging and interprocess communication. Languages
currently supported include C, C++, C#, Go, Java, JavaScript, MATLAB, Python,
R, Ruby, and Rust."
+description: "Apache Arrow is the universal columnar format and multi-language
toolbox for fast data interchange and in-memory analytics. It specifies a
standardized language-independent column-oriented memory format for flat and
nested data, organized for efficient analytic operations on modern hardware. It
also provides computational libraries and zero-copy streaming messaging and
interprocess communication. Languages currently supported include C, C++, C#,
Go, Java, JavaScript, MATLAB [...]
url: https://arrow.apache.org
logo: /img/logo.png
twitter:
diff --git a/arrow.rdf b/arrow.rdf
index de4f5c40e3b..4aaee2cda0d 100644
--- a/arrow.rdf
+++ b/arrow.rdf
@@ -29,8 +29,8 @@
<name>Apache Arrow</name>
<homepage rdf:resource="https://arrow.apache.org"; />
<asfext:pmc rdf:resource="https://arrow.apache.org"; />
- <shortdesc>Apache Arrow is a cross-language development platform for
in-memory data.</shortdesc>
- <description>Apache Arrow defines a language-independent columnar memory
format for flat and hierarchical data, organized for efficient analytic
operations on modern hardware like CPUs and GPUs. The Arrow memory format also
supports zero-copy reads for lightning-fast data access without serialization
overhead.
+ <shortdesc>Apache Arrow is the universal columnar format and
multi-language toolbox for fast data interchange and in-memory
analytics.</shortdesc>
+ <description>Apache Arrow defines a language-independent columnar memory
format for flat and nested data, organized for efficient analytic operations on
modern hardware like CPUs and GPUs. The Arrow memory format also supports
zero-copy reads for lightning-fast data access without serialization overhead.
Arrow's libraries implement the format and provide building blocks for a range
of use cases, including high performance analytics. Many popular projects use
Arrow to ship columnar data efficiently or as the basis for analytic engines.
diff --git a/faq.md b/faq.md
index e61340a65ac..b78090a7ca0 100644
--- a/faq.md
+++ b/faq.md
@@ -30,7 +30,7 @@ limitations under the License.
#### **What *is* Apache Arrow?**
-Apache Arrow is a software development platform for building high performance
+Apache Arrow is a multi-language toolbox for building high performance
applications that process and transport large data sets. It is designed to both
improve the performance of analytical algorithms and the efficiency of moving
data from one system (or programming language to another).
diff --git a/index.html b/index.html
index f9bf70476af..db29fa08c5b 100644
--- a/index.html
+++ b/index.html
@@ -7,7 +7,7 @@ description: The universal columnar format and multi-language
toolbox for fast d
<div class="row">
<div class="col-lg-4 mt-3">
<h3>Format</h3>
- <p>Apache Arrow defines a language-independent columnar memory format
for flat and hierarchical data, organized for efficient analytic operations on
modern hardware like CPUs and GPUs. The Arrow memory format also supports
zero-copy reads for lightning-fast data access without serialization
overhead.</p>
+ <p>Apache Arrow defines a language-independent columnar memory format
for flat and nested data, organized for efficient analytic operations on modern
hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy
reads for lightning-fast data access without serialization overhead.</p>
<p><a href="{{ site.baseurl }}/overview/">Learn more</a> about the
design or
<a href="{{ site.baseurl }}/docs/format/Columnar.html">read the
specification</a>.</p>
</div>
diff --git a/overview.md b/overview.md
index c85acc41ab0..41179e4f3d2 100644
--- a/overview.md
+++ b/overview.md
@@ -24,7 +24,7 @@ limitations under the License.
## Apache Arrow Overview
-Apache Arrow is a software development platform for building high performance
+Apache Arrow is a multi-language toolbox for building high performance
applications that process and transport large data sets. It is designed to both
improve the performance of analytical algorithms and the efficiency of moving
data from one system or programming language to another.
