@Markus Maus Atlas integration is highly flexible and you can use rest or kafka. For HDP partners, those tools integrate with Atlas using hooks. For others simply consume and publish all metadata using kafka. I would go directly against hbase. Use kafka topic to publish and consume metadata. Or you can use RestApi. Both options are documented on apache atlas http://atlas.incubator.apache.org/AtlasTechnicalUserGuide.pdf There are two types of messages for which Kafka is used. Each type is written to a specific topic in Kafka. ● Publishing entity changes to Atlas: These messages are passed from the metadata sources where the metadata is originally created / updated or deleted to Atlas. These messages are written to a topic called ATLAS_HOOK. Typically, these metadata sources are other components in the Hadoop ecosystem. As of Atlas 0.7-incubating, there are integrations with Hive, Sqoop, Falcon and Storm with Atlas. ● Consuming entity changes from Atlas: These messages are passed from Atlas to external consumers who might be interested in changes to metadata. An example of such a source in the current Hadoop ecosystem is Apache Ranger. By capturing metadata change events in real time, Ranger provides policy driven security management of Hadoop data assets. These messages are written to a topic called ATLAS_ENTITIES. ... View more

can you confirm java is installed here /usr/lib/jvm/java-1.7.0-openjdk-1.7.0.111.x86_64/bin/java ... View more

here is example to drop partition ALTER TABLE mytable DROP IF EXISTS PARTITION(year = 2012, month = 12, day = 18); ... View more

I found how to do it Identity Propagation with JDBC (Hive) 1.Enable Authentication via Shiro Config –zeppelin.jdbc.auth.type = KERBEROS –zeppelin.jdbc.principal = principal value –zeppelin.jdbc.keytab.location = keytab location •JDBC Interpreter will add end-user as jdbc:hive2://HiveHost:10000/default;principal=hive/_HOST@MY-REALM.COM;hive.server2.proxy.user=<$USER_NAME> ... View more