Repository: incubator-gobblin
Updated Branches:
  refs/heads/master 8c68f19c5 -> 2621f5e6b


[GOBBLIN-0] First Apache repo commit


Project: http://git-wip-us.apache.org/repos/asf/incubator-gobblin/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-gobblin/commit/2621f5e6
Tree: http://git-wip-us.apache.org/repos/asf/incubator-gobblin/tree/2621f5e6
Diff: http://git-wip-us.apache.org/repos/asf/incubator-gobblin/diff/2621f5e6

Branch: refs/heads/master
Commit: 2621f5e6b4029e57741eda25f222193f9ce6c1fe
Parents: 8c68f19
Author: Abhishek Tiwari <[email protected]>
Authored: Wed Jul 26 15:57:12 2017 -0700
Committer: Abhishek Tiwari <[email protected]>
Committed: Wed Jul 26 15:57:12 2017 -0700

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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/incubator-gobblin/blob/2621f5e6/README.md
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diff --git a/README.md b/README.md
index e832f0b..7671a7f 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-# Gobblin [![Build 
Status](https://secure.travis-ci.org/linkedin/gobblin.png)](https://travis-ci.org/linkedin/gobblin)
 [![Documentation 
Status](https://readthedocs.org/projects/gobblin/badge/?version=latest)](http://gobblin.readthedocs.org/en/latest/?badge=latest)
+# Apache Gobblin [![Build 
Status](https://secure.travis-ci.org/linkedin/gobblin.png)](https://travis-ci.org/linkedin/gobblin)
 [![Documentation 
Status](https://readthedocs.org/projects/gobblin/badge/?version=latest)](http://gobblin.readthedocs.org/en/latest/?badge=latest)
 
 Gobblin is a universal data ingestion framework for extracting, transforming, 
and loading large volume of data from a variety of data sources, e.g., 
databases, rest APIs, FTP/SFTP servers, filers, etc., onto Hadoop. Gobblin 
handles the common routine tasks required for all data ingestion ETLs, 
including job/task scheduling, task partitioning, error handling, state 
management, data quality checking, data publishing, etc. Gobblin ingests data 
from different data sources in the same execution framework, and manages 
metadata of different sources all in one place. This, combined with other 
features such as auto scalability, fault tolerance, data quality assurance, 
extensibility, and the ability of handling data model evolution, makes Gobblin 
an easy-to-use, self-serving, and efficient data ingestion framework.
 

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