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From a...@apache.org
Subject incubator-gobblin git commit: [GOBBLIN-0] First Apache repo commit
Date Wed, 26 Jul 2017 22:57:52 GMT
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 <abhishektiwari.btech@gmail.com>
Authored: Wed Jul 26 15:57:12 2017 -0700
Committer: Abhishek Tiwari <abhishektiwari.btech@gmail.com>
Committed: Wed Jul 26 15:57:12 2017 -0700

----------------------------------------------------------------------
 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
----------------------------------------------------------------------
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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