Today, we only use HTML. If we want to support markdown, then we can use jekyll or asciidoc.

Let me know, I can do the update.

Regards
JB

On 12/14/2016 08:24 AM, [email protected] wrote:
Repository: incubator-carbondata-site
Updated Branches:
  refs/heads/asf-site a1ad369de -> 600ddfc8b


adding incubating


Project: http://git-wip-us.apache.org/repos/asf/incubator-carbondata-site/repo
Commit: 
http://git-wip-us.apache.org/repos/asf/incubator-carbondata-site/commit/600ddfc8
Tree: 
http://git-wip-us.apache.org/repos/asf/incubator-carbondata-site/tree/600ddfc8
Diff: 
http://git-wip-us.apache.org/repos/asf/incubator-carbondata-site/diff/600ddfc8

Branch: refs/heads/asf-site
Commit: 600ddfc8bfdd12354d7a4e3de0b0dc89d5f377db
Parents: a1ad369
Author: chenliang613 <[email protected]>
Authored: Wed Dec 14 15:24:18 2016 +0800
Committer: chenliang613 <[email protected]>
Committed: Wed Dec 14 15:24:18 2016 +0800

----------------------------------------------------------------------
 content/docs/overview.md         | 2 +-
 src/main/webapp/docs/overview.md | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/incubator-carbondata-site/blob/600ddfc8/content/docs/overview.md
----------------------------------------------------------------------
diff --git a/content/docs/overview.md b/content/docs/overview.md
index cc078d0..b3f36ae 100644
--- a/content/docs/overview.md
+++ b/content/docs/overview.md
@@ -30,7 +30,7 @@ This tutorial provides a detailed overview about :

 ##  Introduction

-CarbonData is a fully indexed columnar and Hadoop native data-store for 
processing heavy analytical workloads and detailed queries on big data. 
CarbonData allows  faster interactive query using advanced columnar storage, 
index, compression and encoding techniques to improve computing efficiency, in 
turn it will help speedup queries an order of magnitude faster over PetaBytes 
of data.
+CarbonData(incubating) is a fully indexed columnar and Hadoop native 
data-store for processing heavy analytical workloads and detailed queries on 
big data. CarbonData allows  faster interactive query using advanced columnar 
storage, index, compression and encoding techniques to improve computing 
efficiency, in turn it will help speedup queries an order of magnitude faster 
over PetaBytes of data.

 In customer benchmarks, CarbonData has proven to manage Petabyte of data 
running on extraordinarily low-cost hardware and answers queries around 10 
times faster than the current open source solutions (column-oriented SQL on 
Hadoop data-stores).


http://git-wip-us.apache.org/repos/asf/incubator-carbondata-site/blob/600ddfc8/src/main/webapp/docs/overview.md
----------------------------------------------------------------------
diff --git a/src/main/webapp/docs/overview.md b/src/main/webapp/docs/overview.md
index cc078d0..b3f36ae 100755
--- a/src/main/webapp/docs/overview.md
+++ b/src/main/webapp/docs/overview.md
@@ -30,7 +30,7 @@ This tutorial provides a detailed overview about :

 ##  Introduction

-CarbonData is a fully indexed columnar and Hadoop native data-store for 
processing heavy analytical workloads and detailed queries on big data. 
CarbonData allows  faster interactive query using advanced columnar storage, 
index, compression and encoding techniques to improve computing efficiency, in 
turn it will help speedup queries an order of magnitude faster over PetaBytes 
of data.
+CarbonData(incubating) is a fully indexed columnar and Hadoop native 
data-store for processing heavy analytical workloads and detailed queries on 
big data. CarbonData allows  faster interactive query using advanced columnar 
storage, index, compression and encoding techniques to improve computing 
efficiency, in turn it will help speedup queries an order of magnitude faster 
over PetaBytes of data.

 In customer benchmarks, CarbonData has proven to manage Petabyte of data 
running on extraordinarily low-cost hardware and answers queries around 10 
times faster than the current open source solutions (column-oriented SQL on 
Hadoop data-stores).



--
Jean-Baptiste Onofré
[email protected]
http://blog.nanthrax.net
Talend - http://www.talend.com

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