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Posted to commits@gobblin.apache.org by ab...@apache.org on 2017/07/29 21:54:23 UTC
incubator-gobblin git commit: Updated README for this branch
Repository: incubator-gobblin
Updated Branches:
refs/heads/version-0 9b68773e0 -> 74bc0b527
Updated README for this branch
Project: http://git-wip-us.apache.org/repos/asf/incubator-gobblin/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-gobblin/commit/74bc0b52
Tree: http://git-wip-us.apache.org/repos/asf/incubator-gobblin/tree/74bc0b52
Diff: http://git-wip-us.apache.org/repos/asf/incubator-gobblin/diff/74bc0b52
Branch: refs/heads/version-0
Commit: 74bc0b527a50d63de43ec5cdffd3999aa756ef59
Parents: 9b68773
Author: Abhishek Tiwari <ab...@gmail.com>
Authored: Sat Jul 29 14:54:19 2017 -0700
Committer: Abhishek Tiwari <ab...@gmail.com>
Committed: Sat Jul 29 14:54:19 2017 -0700
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README.md | 2 ++
1 file changed, 2 insertions(+)
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http://git-wip-us.apache.org/repos/asf/incubator-gobblin/blob/74bc0b52/README.md
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diff --git a/README.md b/README.md
index b513c70..8f68320 100644
--- a/README.md
+++ b/README.md
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+# This branch tracks version 0.x that has code with pre-apache package names
+
# Apache Gobblin [](https://travis-ci.org/linkedin/gobblin) [](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. 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.