This is showing Airflow as the application because Amundsen already has
the Airflow icon but it could basically be any data transformation job
e.g SQL transforming from source dataset(s) to a resulting dataset
(Table).

* simplify elasticsearch databuilder workflow

* fix sample data loader

* Update default scope to be iterable for both py2 and py3

Encounter this issue( google.auth.exceptions.RefreshError: ('invalid_scope: h is not a valid audience string.', u'{\n  "error": "invalid_scope",\n  "error_description": "h is not a valid audience string."\n}')) which stackoverflow shows https://stackoverflow.com/questions/48332352/google-server-to-server-oauth-error.

* Update bigquery_metadata_extractor.py

* Update bigquery_metadata_extractor.py

* Update bigquery_metadata_extractor.py

* Update bigquery_metadata_extractor.py

* [AMD-149] Add updated timestamp into node and relation

* Update

* [AMD-120] Add relation pre-processor in Neo4jPublisher

* Update

* Added DeleteRelationPreprocessor

* Added DeleteRelationPreprocessor

* Update

* Update

* generalize ElasticsearchDocumentTransformer

* remove typo

* fix lint

* Add Kafka source extractor

* Update per comment

* Add Postgres Metadata extractor and Test

* add instructions for postgres/redshift to README

Skip existing version on Pypi

Discussion found in https://amundsenworkspace.slack.com/archives/CHQERT0D7/p1558721194000600?thread_ts=1558633608.153700&cid=CHQERT0D7

* No need to show the exceptions body info when index not found

* Update elasticsearch_publisher.py

* Update elasticsearch_publisher.py

* Update elasticsearch_publisher.py

* Update elasticsearch_publisher.py

* Update elasticsearch_publisher.py

* [#60]: Fixes paging over dataset and column count

* Update setup.py

The requirement.txt has version mismatch with setup.py.

* [DPTOOLS-2312] Add callback registration in Publisher

* Increment version

* [DPTOOLS-2299] Separate Index creation step from Node publish

* Update

* Implements BigQuery metadata extractor

* Increment version

* Increment version correctly to 1.2.0

* Set version to 1.1.0

* gitignore dist/ as in metadataservice PR #28

* Add load of example users

* Ditch utf-8 encode for consistensy w. other models

Add badges to databuilder repo

* [DPTOOLS-2210] Upgrade Neo4j driver to 1.7.2

* Update version