commit | c736034df2c7e7917d55c3b8c6b3808a1d11bd28 | [log] [tgz] |
---|---|---|
author | Ian Cook <ianmcook@gmail.com> | Wed Apr 07 20:53:00 2021 -0400 |
committer | Benjamin Kietzman <bengilgit@gmail.com> | Wed Apr 07 20:53:00 2021 -0400 |
tree | 5df6c1b4bf3fa080dfce6b724e5b76cb0272ff8d | |
parent | f2db785c24015b102db9b268c67a6ea73c5d7e93 [diff] |
ARROW-11336: [C++][Doc] Improve Developing on Windows docs - Improves the **Developing on Windows** docs - Adds instructions for Visual Studio 2019 users - Documents how to use vcpkg to install Arrow dependencies on Windows - Improves some ambiguous instructions and fixes minor errors - Adds more mentions of vcpkg to the **Building Arrow C++** docs - Describes how to open the Visual Studio IDE with a conda environment activated (ARROW-11192) Closes #9855 from ianmcook/ARROW-11336 Authored-by: Ian Cook <ianmcook@gmail.com> Signed-off-by: Benjamin Kietzman <bengilgit@gmail.com>
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.
Major components of the project include:
Arrow is an Apache Software Foundation project. Learn more at arrow.apache.org.
The reference Arrow libraries contain many distinct software components:
The official Arrow libraries in this repository are in different stages of implementing the Arrow format and related features. See our current feature matrix on git master.
Please read our latest project contribution guide.
Even if you do not plan to contribute to Apache Arrow itself or Arrow integrations in other projects, we'd be happy to have you involved: