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From a...@apache.org
Subject [1/2] incubator-gobblin git commit: [GOBBLIN-170] Update documentation to include Apache with Gobblin
Date Thu, 27 Jul 2017 22:50:02 GMT
Repository: incubator-gobblin
Updated Branches:
  refs/heads/master 375c2918b -> 30921bf5c


[GOBBLIN-170] Update documentation to include Apache with Gobblin


Project: http://git-wip-us.apache.org/repos/asf/incubator-gobblin/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-gobblin/commit/21853386
Tree: http://git-wip-us.apache.org/repos/asf/incubator-gobblin/tree/21853386
Diff: http://git-wip-us.apache.org/repos/asf/incubator-gobblin/diff/21853386

Branch: refs/heads/master
Commit: 218533860c468788f4b70c20a26977e53454e2b2
Parents: 2580b28
Author: Abhishek Tiwari <abhishektiwari.btech@gmail.com>
Authored: Thu Jul 27 15:45:03 2017 -0700
Committer: Abhishek Tiwari <abhishektiwari.btech@gmail.com>
Committed: Thu Jul 27 15:45:03 2017 -0700

----------------------------------------------------------------------
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/incubator-gobblin/blob/21853386/README.md
----------------------------------------------------------------------
diff --git a/README.md b/README.md
index a60f1e1..b513c70 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 # 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)
 
-Apache 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.
+Apache 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. Apache 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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