* Replace Threadpool to Pool

* Update

* Update

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