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new 7ef5437e23 GH-44474: [Website][Docs] Improve project description in
more places (#44522)
7ef5437e23 is described below
commit 7ef5437e23bd7d7571a0c7a7fc0c5d3634816802
Author: Ian Cook <[email protected]>
AuthorDate: Wed Oct 23 22:13:11 2024 -0400
GH-44474: [Website][Docs] Improve project description in more places
(#44522)
This is a follow-up to https://github.com/apache/arrow-site/pull/549 and
https://github.com/apache/arrow/pull/44492. This updates the project
description in a few other places where it appears prominently in the
website and docs.
* GitHub Issue: #44474
---
README.md | 5 +++--
docs/source/index.rst | 15 +++++++--------
docs/source/python/index.rst | 5 +++--
3 files changed, 13 insertions(+), 12 deletions(-)
diff --git a/README.md b/README.md
index 7c31c91a51..f49ec4b8d9 100644
--- a/README.md
+++ b/README.md
@@ -25,8 +25,9 @@
## Powering In-Memory Analytics
-Apache Arrow is a development platform for in-memory analytics. It contains a
-set of technologies that enable big data systems to process and move data fast.
+Apache Arrow is a universal columnar format and multi-language toolbox for fast
+data interchange and in-memory analytics. It contains a set of technologies
that
+enable data systems to efficiently store, process, and move data.
Major components of the project include:
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 3e678c78b6..4b16f1f9db 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -20,15 +20,14 @@
Apache Arrow
============
-Apache Arrow is a development platform for in-memory analytics. It contains a
-set of technologies that enable big data systems to process and move data
-fast. It specifies a standardized language-independent columnar memory format
-for flat and hierarchical data, organized for efficient analytic operations on
-modern hardware.
+Apache Arrow is a universal columnar format and multi-language toolbox for fast
+data interchange and in-memory analytics.
-The project is developing a multi-language collection of libraries for solving
-systems problems related to in-memory analytical data processing. This includes
-such topics as:
+The project specifies a language-independent column-oriented memory format
+for flat and hierarchical data, organized for efficient analytic operations on
+modern hardware. The project houses an actively developed collection of
+libraries in many languages for solving problems related to data transfer and
+in-memory analytical processing. This includes such topics as:
* Zero-copy shared memory and RPC-based data movement
* Reading and writing file formats (like CSV, Apache ORC, and Apache Parquet)
diff --git a/docs/source/python/index.rst b/docs/source/python/index.rst
index 7acff940ba..337769f246 100644
--- a/docs/source/python/index.rst
+++ b/docs/source/python/index.rst
@@ -25,8 +25,9 @@ PyArrow - Apache Arrow Python bindings
This is the documentation of the Python API of Apache Arrow.
-Apache Arrow is a development platform for in-memory analytics.
-It contains a set of technologies that enable big data systems to store,
process and move data fast.
+Apache Arrow is a universal columnar format and multi-language toolbox for fast
+data interchange and in-memory analytics. It contains a set of technologies
that
+enable data systems to efficiently store, process, and move data.
See the :doc:`parent documentation <../index>` for additional details on
the Arrow Project itself, on the Arrow format and the other language bindings.
