You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@griffin.apache.org by gu...@apache.org on 2018/06/21 02:37:25 UTC
incubator-griffin git commit: This closes #125
Repository: incubator-griffin
Updated Branches:
refs/heads/master 0db4baedb -> 128479ef7
This closes #125
at the same time, we will close some obsolete PRs.
This closes #125
This closes #241
THis closes #242
This closes #279
Author: William Guo <gu...@apache.org>
Closes #318 from guoyuepeng/update_doc_and_remove_stale_prs.
Project: http://git-wip-us.apache.org/repos/asf/incubator-griffin/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-griffin/commit/128479ef
Tree: http://git-wip-us.apache.org/repos/asf/incubator-griffin/tree/128479ef
Diff: http://git-wip-us.apache.org/repos/asf/incubator-griffin/diff/128479ef
Branch: refs/heads/master
Commit: 128479ef7014b012e7d073d0016bb40345edd84f
Parents: 0db4bae
Author: William Guo <gu...@apache.org>
Authored: Thu Jun 21 10:37:09 2018 +0800
Committer: William Guo <gu...@apache.org>
Committed: Thu Jun 21 10:37:09 2018 +0800
----------------------------------------------------------------------
griffin-doc/FSD.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/incubator-griffin/blob/128479ef/griffin-doc/FSD.md
----------------------------------------------------------------------
diff --git a/griffin-doc/FSD.md b/griffin-doc/FSD.md
index ef78b7f..4634ff8 100644
--- a/griffin-doc/FSD.md
+++ b/griffin-doc/FSD.md
@@ -30,7 +30,7 @@ Apache Griffin is a model driven open source Data Quality solution for distribut
- Data quality health monitoring visualization
- Shared infrastructure resource management
-## Background and strategic fit
+## Background
When people play with big data in Hadoop (or other streaming data), data quality often becomes one big challenge. Different teams have built customized data quality tools to detect and analyze data quality issues within their own domain. We are thinking to take a platform approach to provide shared Infrastructure and generic features to solve common data quality pain points. This would enable us to build trusted data assets.