nealrichardson commented on a change in pull request #63: URL: https://github.com/apache/arrow-site/pull/63#discussion_r445207165
########## File path: index.html ########## @@ -1,72 +1,62 @@ --- -layout: default +layout: home --- -<div class="jumbotron"> - <h1>Apache Arrow</h1> - <p class="lead">A cross-language development platform for in-memory data</p> - <p> - <a class="btn btn-lg btn-success" style="white-space: normal;" href="mailto:[email protected]"; role="button">Join Mailing List</a> - <a class="btn btn-lg btn-primary" style="white-space: normal;" href="{{ site.baseurl }}/install/" role="button">Install ({{site.data.versions['current'].number}} Release - {{site.data.versions['current'].date}})</a> - </p> -</div> -<h5> - Interested in contributing? - <small class="text-muted">Join the <a href="http://mail-archives.apache.org/mod_mbox/arrow-dev/";><strong>mailing list</strong></a> or check out the <a href="https://cwiki.apache.org/confluence/display/ARROW";><strong>developer wiki</strong></a>.</small> -</h5> -<h5> - <a href="{{ site.baseurl }}/blog/"><strong>See Latest News</strong></a> -</h5> -<p> - {{ site.description }} -</p> -<hr /> +<h1>What is Arrow?</h1> <div class="row"> <div class="col-lg-4"> - <h2 class="mt-3">Fast</h2> - <p>Apache Arrow™ enables execution engines to take advantage of the latest SIMD (Single instruction, multiple data) operations included in modern processors, for native vectorized optimization of analytical data processing. Columnar layout is optimized for data locality for better performance on modern hardware like CPUs and GPUs.</p> - <p>The Arrow memory format supports <strong>zero-copy reads</strong> for lightning-fast data access without serialization overhead.</p> + <h2 class="mt-3">Format</h2> + <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 <strong>zero-copy reads</strong> 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> <div class="col-lg-4"> - <h2 class="mt-3">Flexible</h2> - <p>Arrow acts as a new high-performance interface between various systems. It is also focused on supporting a wide variety of industry-standard programming languages. C, C++, C#, Go, Java, JavaScript, MATLAB, Python, R, Ruby, and Rust implementations are in progress and more languages are welcome. + <h2 class="mt-3">Libraries</h2> + <p>The Arrow project includes libraries that implement the memory specification in many languages. They enable you to use the Arrow format as an efficient means of sharing data across languages and processes. Libraries are available for <a href="{{ site.baseurl }}/docs/c_glib/">C</a>, <a href="{{ site.baseurl }}/docs/cpp/">C++</a>, <a href="https://github.com/apache/arrow/blob/master/csharp/README.md";>C#</a>, <a href="https://godoc.org/github.com/apache/arrow/go/arrow";>Go</a>, <a href="{{ site.baseurl }}/docs/java/">Java</a>, <a href="{{ site.baseurl }}/docs/js/">JavaScript</a>, <a href="https://github.com/apache/arrow/blob/master/matlab/README.md";>MATLAB</a>, <a href="{{ site.baseurl }}/docs/python/">Python</a>, <a href="{{ site.baseurl }}/docs/r/">R</a>, <a href="https://github.com/apache/arrow/blob/master/ruby/README.md";>Ruby</a>, and <a href="https://docs.rs/crate/arrow/";>Rust</a>. </p> + See <a href="{{ site.baseurl }}/install/">how to install</a> and <a href="{{ site.baseurl }}/getting_started/">get started</a>. </div> <div class="col-lg-4"> - <h2 class="mt-3">Standard</h2> - <p>Apache Arrow is backed by key developers of 13 major open source projects, including Calcite, Cassandra, Drill, Hadoop, HBase, Ibis, Impala, Kudu, Pandas, Parquet, Phoenix, Spark, and Storm making it the de-facto standard for columnar in-memory analytics.</p> - <p>Learn more about projects that are <a href="{{ site.baseurl }}/powered_by/">Powered By Apache Arrow</a></p> + <h2 class="mt-3">Applications</h2> + <p>Arrow libraries provide a foundation for developers to build fast analytics applications. <a href="{{ site.baseurl }}/powered_by/">Many popular projects</a> use Arrow to ship columnar data efficiently or as the basis for analytic engines. + <p>The libraries also include built-in features for working with data directly, including Parquet file reading and querying large datasets. See more Arrow <a href="{{ site.baseurl }}/use_cases/">use cases</a>.</p> Review comment: In a sense, you're suggesting to pull up the "Community" blurb in the "Why Arrow" section? If so we could move the rest of the "Why Arrow" to the "Overview" page. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
