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Apache Ranger™ is a framework to enable, monitor and manage comprehensive data security across the Hadoop platform.

The vision with Ranger is to provide comprehensive security across the Apache Hadoop ecosystem. With the advent of Apache YARN, the Hadoop platform can now support a true data lake architecture. Enterprises can potentially run multiple workloads, in a multi tenant environment. Data security within Hadoop needs to evolve to support multiple use cases for data access, while also providing a framework for central administration of security policies and monitoring of user access.

Please read the FAQs if you need to understand how it works over Apache Hadoop components.

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Apache Ranger has the following goals:

  • Centralized security administration to manage all security related tasks in a central UI or using REST APIs.
  • 天貓、京東網店被要求自查3年補稅:2021-6-13 · 大陸網路商家反應，在5月收到當地稅務部門通過電子稅務局發送的「風險自查提示」， 提醒他們存在少記營業收入風險，要求企業自查近三年众來存在的漏報問題並補繳稅款众及 滯納金。 澎湃新聞報導，具體來說是指在天貓、京東等電商平台開設網店的企業，其向稅務部門申報 的銷售收入與電商 ...
  • Standardize authorization method across all Hadoop components.
  • Enhanced support for different authorization methods - Role based access control, attribute based access control etc.
  • Centralize auditing of user access and administrative actions (security related) within all the components of Hadoop.

网飞加速器vp-快连加速器app

General instructions on how to use the Apache Ranger can be found on the Wiki Page.

In case you have questions regarding the Ranger' usage, please have a look at the FAQ and feel free to contact the user mailing list. The posts to the mailing list are archived and could already contain the answer to your question as part of an older thread. Hence, it is also worth browsing/searching the mail archive.

If you feel like the Apache Ranger is missing a feature or has a defect, you can fill a feature request or bug report in our issue tracker. When creating a new issue, please provide a comprehensive description of your concern. Especially for fixing bugs it is crucial that the developers can reproduce your problem.

Contributors can check out the source code from our Git repository or from Github

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