diff options
| author | Dasha Boudnik <dasha@wandisco.com> | 2015-01-20 18:39:59 -0800 |
|---|---|---|
| committer | Konstantin Boudnik <cos@apache.org> | 2015-01-21 19:15:58 -0800 |
| commit | db4c4dbe9bb8522f2ebcffd9319c4dd3169f798e (patch) | |
| tree | 46e21ebce4a01b34b2530243e8a39d7d7f294d0a /src | |
| parent | a0fc6fba021a324976ffd7763f25c3c034ddd6d6 (diff) | |
BIGTOP-1600. Improve front page content of website
Signed-off-by: Konstantin Boudnik <cos@apache.org>
Diffstat (limited to 'src')
| -rw-r--r-- | src/site/xdoc/index.xml | 19 |
1 files changed, 10 insertions, 9 deletions
diff --git a/src/site/xdoc/index.xml b/src/site/xdoc/index.xml index 1e6202f2..3512e3f2 100644 --- a/src/site/xdoc/index.xml +++ b/src/site/xdoc/index.xml @@ -15,7 +15,11 @@ <section name="Apache Bigtop"> <p> - Bigtop is a project for the development of packaging and tests of the Apache Hadoop ecosystem. + <b> + Bigtop is an Apache Foundation project for Infrastructure Engineers and Data Scientists looking for comprehensive packaging, testing, and configuration of the leading open source big data components. + </b> + Bigtop supports a wide range of components/projects, including, but not limited to, Hadoop, HBase and Spark. + </p> <br /> <table> @@ -39,14 +43,11 @@ </table> <br /> <p> - <b> - The primary goal of Bigtop is to build a community around the packaging and interoperability testing - of Hadoop-related projects. - </b> - This includes testing at various levels (packaging, platform, runtime, upgrade, etc...) - developed by a community with a focus on the system as a whole, rather than individual projects. - Packages have been built on Ubuntu 10.10, CentOS 5/6, Fedora 18, Mageia 1, openSUSE 12.2. - They can probably be built on other platforms as well. + Bigtop components power the leading Hadoop distros and support many Operating Systems, including Debian/Ubuntu, CentOS, Fedora, SUSE and many others. + + </p> + <p> + Bigtop includes tools and a framework for testing at various levels (packaging, platform, runtime, etc.) for both initial deployments as well as upgrade scenarios for the entire data platform, not just the individual components. </p> <br /> <br /> |