Cloud Data Box overview

Available in Classic and VPC

Cloud Data Box is a service that provides a wide range of extensive big data and a big data analysis platform related to NAVER Search and Shopping. It provides a large amount of online behavior data required for the analysis and the state-of-art analysis infrastructure that can effectively analyze data so that customers can solve various business issues based on extensive data. Users can easily and conveniently utilize the extensive search and shopping data provided by NAVER through the NAVER Cloud Platform's Cloud Data Box without having to separately prepare the data required for data analysis and machine learning development. Since external network communication is blocked after requesting data supply, analysis can be performed safely without data leak risks. Although the provided data can't be exported, the analysis outputs such as models and aggregated data created by Cloud Data Box can be exported.

Cloud Data Box can be utilized as follows.

• Keyword analysis: You can manage brand reputation, create branded content by analyzing the keywords used by different age groups, and analyze keyword trends to identify the needs of each customer segment.
• Provide tailored services to customers: You can create landing pages tailored to customers, increase new purchase rates through recommendations of products purchased together by other customers, or use existing customer information to offer tailored product recommendations optimized to each customer.
• AI analysis: You can create various classification models using labeled images and text, and discover ways to improve service efficiency through these models.

A variety of features Cloud Data Box offers

• Provide abundant data: You can analyze search, shopping, and AI data that NAVER accumulated to improve understanding of the target market and prospective customers.
• 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 Zeppelin, which are provided by default.
• Safe data storage: Cloud Data Box thoroughly maintains its security in a cloud-based computing environment, and by limiting the arbitrary export of data, it safely protects customer data and analysis results.
• Analysis linked with customer data: You can import customer data and software into Cloud Data Box and link them to NAVER data for various types of analysis. The analysis data can be exported for continuous follow-up analysis.
• Analysis infrastructure services and analysis data sources that customers can select directly: You can freely set up the infrastructure according to the your analysis objective and scale, and select the desired NAVER data according to the business objectives.

About Cloud Data Box guide

The Cloud Data Box guide consists of the following topics that will help you to effectively use the service. The content that user can view in each topic are as follows.

• Cloud Data Box overview: Cloud Data Box introduction, features, related resources, FAQs
• Prerequisites for using Cloud Data Box: preparations required for using Cloud Data Box
• Cloud Data Box scenario: Cloud Data Box usage scenario
• Get started: how to start using Cloud Data Box
  • Subscribe and unsubscribe: how to request or cancel Cloud Data Box subscription
• Using Cloud Data Box: how to use features of Cloud Data Box
  • Creating databox: description on how to create a databox
  • Databox connection settings: how to connect to the infrastructure service
  • Searching sample data: how to search sample data in the analysis tool before submitting a data supply request
  • Data supply: how to request data supply, add data, and request subscription to Insight Option
  • Databox management: how to change databox NAS capacity and SSL VPN account
  • File import/export: descriptions on how to import/export files and export criteria
  • Detailed description of provided data: detailed descriptions of search, shopping, image and news data
• Managing Cloud Data Box permissions: description on Cloud Data Box's Sub Account policies
• Cloud Data Box release notes: update history of the Cloud Data Box guide

Cloud Data Box related resources

NAVER Cloud Platform provides a variety of related resources as well as the guide to help customers better understand Cloud Data Box. If you're a developer or marketer in need of detailed information while you're considering adopting Cloud Data Box for your company or establishing data related policies, then please make good use of the resources below.

• Ncloud use environment guide: the guide on VPC environment and supported features
• Introduction to pricing, characteristics, and detailed features: summary of Cloud Data Box pricing system, characteristics, and detailed features of Cloud Data Box
• Latest service news: latest news related to Cloud Data Box
• FAQ: frequently asked questions by users
• Contact Us: direct inquiries in case of any unresolved questions that aren't answered by the guides

FAQ

Q. What kind of data is provided?

• User behavior data such as NAVER Search and Shopping for the past 6 months, image and annotation data for AI learning, and object data for news articles and NLP analysis are provided. The provided data is subject to change.
• You can receive the latest NAVER Search and Shopping data by selecting Insight Option.

Q. What analytics platform are offered?

• Cloud Hadoop, Spark, Hive, and Zeppelin Notebook for processing large quantities of data, and TensorFlow GPU, TensorFlow CPU, and Jupyter Notebook for AI model creation are provided.
• Users can select product specifications according to analysis objectives, directly install additional services and modules to the provided infrastructure service and use them freely.