The increasing trend of adoption Hadoop open-source framework for speedy data processing and analytics capabilities for organizations to manage huge data volume have brought attention to enterprise wide security concern aiming for fine grain control of sensitive information and isolation from different level/group of access on sharing storage or computing facilities. Prior to Hadoop 0.20, Unix-like file permission were introduced, providing also cluster-wide simple authentication mechanism but lack of access control per job queue, submission and other operations. With Hadoop's new security feature and it's integration with Kerberos, it's now possible to bring strong authentication and authorization to ensure rigorous access control to data, resources and also isolation between running tasks. In this presentation, we will cover the deployment details of Hadoop security on cluster environment and implementation on high-level services base on kerberized security infrastructure. We introduce also the Etu Appliance providing fast-deployment, system-automation and built-in feature of cross-realm trust mechanism which fulfill the interoperation between existing Active Domain or external LDAP realm and help reducing both integration and operation-wide overhead from administrators.