Habu Clean Rooms - Native App

Data clean rooms enable partners to fuel data-driven initiatives with the power of each others’ data, without divulging any sensitive and private details from either party. Snowflake has a number of primitives (Secure Share, Streams & Tasks, Row Access Policy, Allowed Statements, Secure View) which, when used in specific combinations and sequences, can be used to facilitate such data sharing without any movement of underlying source data.

Once installed on participating Snowflake instances, Habu software runs as an agent to dynamically implement and enforce privacy and governance, using these combinations of primitives, without ever accessing data from clean room participants’ instances.

Expected Workflow:
1. Clean room owner or partner reaches out to Habu for access to App

2. Habu provides access to the Snowflake private listing, permissions, and documentation on the installation process

3. Once installed, Habu software runs as an agent to create and automate privacy and governance compliant clean room use cases, without ever accessing source data.

数据净室（Data Clean Room）可助力合作方依托双方的数据能力推进数据驱动型项目，且不会泄露任何一方的敏感与隐私细节。Snowflake 内置多种基础组件（安全共享（Secure Share）、流与任务（Streams & Tasks）、行访问策略（Row Access Policy）、允许语句（Allowed Statements）、安全视图（Secure View）），若以特定组合与顺序使用这些组件，可在不移动底层源数据的前提下实现此类数据共享。

在参与方的Snowflake实例上完成安装后，哈布（Habu）软件将以代理程序的形式运行，借助上述组件组合动态实现并强制执行隐私与治理规则，且绝不会访问数据净室参与方实例中的数据。

预期工作流程：
1. 数据净室所有者或合作方向哈布发起申请，以获取该应用的访问权限
2. 哈布将提供Snowflake私有上架清单、相关权限以及安装流程文档
3. 安装完成后，哈布软件将以代理程序的形式运行，创建并自动化实现符合隐私与治理要求的数据净室用例，且绝不会访问源数据。