Data Box Frame overview

Available in VPC

The Data Box Frame is a service that uses customer data to provide analysis with Cloud Data Box infrastructure to analysts who want to analyze customer data. Just as Cloud Data Box provides services for NAVER search and shopping data, it can use customer data to provide services to analysts in the same form as Cloud Data Box.

Customers can create and manage analysis infrastructure such as Cloud Data Box. You can set up a direct connection to or blocking of external networks, and provide procedures to review and approve your data import processing and analysis results analyzed by analysts and export requests, thereby preventing data leakage.

Various features provided by the Data Box Frame

• Provide services using customer data: You can provide analysis services by providing customer data.
• Provide analysis environment for utilization of data: For efficient data analysis, you can set up various analysis infrastructures such as the Ncloud Tensorflow server and Hadoop cluster and easily and conveniently analyze data by utilizing various analysis tools including Jupyter notebook and Zeppeline, which are provided by default.
• Safe data storage: Data Box Frame thoroughly maintains its security in a cloud-based computing environment, and by limiting the arbitrary export of data by customers, it safely protects customer data and analysis results.
• Analysis linked with analyst data: You can import analyst data and software into the Data Box Frame through the import feature, and perform various analyses in connection with customer data. Once the customer has decided whether to export through the export request and export approval process, the analysis result can be exported for continuous follow-up analysis.
• Customer-selectable analysis infrastructure and analysis data sources: You can freely configure the infrastructure according to the customer's analysis purpose and scale, and provide analysis services by providing a Data Box.

About the Data Box Frame user guide

Data Box Frame provides services in the Korean region. Please see the following table of contents and their details for smooth use of the Data Box Frame in the Korean region.

• Data Box Frame overview: introduction to Data Box Frame, advantages, helpful guides for Data Box Frame users, related resources, FAQs
• Data Box Frame user environment: supported environments in order to use a Data Box Frame, requirements and restrictions
• Data Box Frame scenario: guide to overall Data Box Frame usage scenarios
• Get started: how to start using Data Box Frame
  • Subscribe and unsubscribe: how to request or cancel Data Box Frame subscription

• Use of Data Box Frame: how to use the Data Box Frame feature
  • Create Data Box Frame: describe how to create a Data Box Frame
  • Upload public data and set up data groups: explain how to upload public data and how to provide it through a data group
  • Set analysis environment for each box: description of the Data Box configuration and settings provided by the Data Box Frame
  • Data analysis for each box: description of data analysis in the provided Data Box
  • File import for each box: description of the feature to import data into the provided Data Box
  • Export analysis results for each box: description of exporting analysis results created in the provided Data Box
  • Evaluation of the adequacy of analysis results: describe how to check the application for the export of the analysis data created in the provided Data Box
• Managing permissions for Data Box Frame: description of the Sub Account policy of the Data Box Frame
• Data box frame release notes: Data Box Frame user guide update history

Data Box Frame related resources

NAVER Cloud Platform provides various resources and guides to help customers understand the Data Box Frame better. If you are thinking about deploying a Data Box Frame, take advantage of the following resources: The Data Box Frame related resources are as follows:

• Ncloud use environment guide: guide on VPC environment and supported features
• Pricing introduction, characteristics, detailed features : Data Box Frame pricing system, a summary of Data Box Frame's characteristics and detailed features
• Latest service news: latest news about the Data Box Frame
• FAQ: frequently asked questions by users
• Contact us: send direct inquiries in case of any unresolved questions that aren't answered by the user guides

Check FAQs first.

You can get your questions answered quickly by referring to the answers in the FAQ before reading the user guide. If you haven't found the answer to your question in the FAQ below, then search the guide for what you would like to know.

Q. How are the Boxes in the Data Box Frame configured and accessible?
A. The Data Box Frame is configured in the VPC environment of NAVER Cloud Platform, and you can manage the Box information by delivering it to the analysts. The analyst can access the box remotely using the information received from the customer.

Q. Can I use other analysis frameworks and analysis software other than tensorflow or hadoop provided by NAVER Cloud Platform?
A. For the separate analysis framework and analysis software you need, you can import the installation file of the analysis framework or analysis software through the import feature provided by the Data Box Frame, import it into the Box, and use it after installing the installation program and package. However, Linux server provides root permission and there are no restrictions on installation, but Windows server currently provides general user permissions instead of admin permissions for security reasons, so there may be restrictions on installation.