Available in VPC
Cloud Data Box provides a variety of rich big data related to searches conducted on NAVER and shopping and the platform for its analysis. Utilizing the extensive data available, the service offers an enormous volume of online behavioral data to be analyzed to address various business challenges. It also provides a state-of-art analytics infrastructure to inspect it effectively. When analyzing data or developing machine learning, users do not have to prepare the necessary data. Through NAVER Cloud Platform's Cloud Data Box, they can easily access and utilize a wealth of search histories and shopping data provided by NAVER. Once a data supply request has been made, all external network connections are blocked, allowing you to analyze the data without the risk of data breach. While the supplied data cannot be exported, the models crafted by Cloud Data Box and its analysis results including aggregated data can be exported after being reviewed.
You can use Cloud Data Box as follows:
- Search keywords analysis: You can create optimal content for your brand by managing its reputation and analyzing search keywords by age. You can also gain insight into each customer segment's needs by examining search keyword trends.
- Customized service: You can prepare a landing page optimized for each customer and increase the first-time purchase rate by promoting products often purchased together. You can also recommend products catered to each customer by utilizing existing customers' data.
- AI analysis: You can develop classification models utilizing labeled images and texts and identify strategies to enhance the efficiency of your service through the application of the models.
Cloud Data Box features
- A vast array of data: You can analyze the data accumulated at NAVER including search and shopping histories and AI data to gain insight into your target market and potential customers.
- Provision of analysis environment for data utilization: For efficient data analysis, you can easily set up various analysis infrastructure such as Ncloud TensorFlow Server and Hadoop Cluster. You can also analyze data easily and conveniently using pre-installed analysis tools including Jupyter Notebook and Zeppelin.
- Safe data storage: Cloud Data Box thoroughly maintains its security in a cloud-based computing environment, and by limiting the arbitrary export of data by users, it safely protects customer data and analysis results.
- Client data integration and analysis: You can integrate customer data and NAVER data by importing customer data and your software onto Cloud Data Box to perform various analyses. If the data export is approved after an internal review, you can export the analysis results and study the data further.
- Customer-selectable analysis infrastructure and analysis data sources: You can freely configure infrastructure based on your objectives and scales of analysis and select NAVER data most suitable to your business needs.
Cloud Data Box user guide
Cloud Data Box user guide walks you through the information you need to use the service effectively. The following are summaries of the contents covered in each segment:
- Cloud Data Box overview: Learn about the service, features, related resources, and FAQs.
- Cloud Data Box prerequisites: View preparations for using Cloud Data Box.
- Cloud Data Box quickstart: Follow a step-by-step guide through the entire process.
- Getting started: Learn how to start using Cloud Data Box.
- Manage subscriptions: Subscribe to and manage your Cloud Data Box.
- Using Cloud Data Box: Learn how to use Cloud Data Box features.
- Create data box: Learn how to create a data box.
- Configure data box access: Learn how to establish access to infrastructure service.
- View sample data: Learn how to view sample data on analytics tools before requesting data supply.
- Data supply: Learn how to request data supply or additional data and how to subscribe to Insight Option.
- Manage data box: Learn how to change data box NAS capacity or SSL VPN accounts.
- Import/Export files: Learn how to import/export files and the data export standards.
- Detailed description of provided data: Describes search, shopping, image, and news data.
- Cloud Data Box resource management: Manage Cloud Data Box resources using NAVER Cloud Platform’s Resource Manager and Cloud Activity Tracer.
- Cloud Data Box permissions management: Learn about Cloud Data Box's Sub Account policy.
- Cloud Data Box troubleshooting: Troubleshoot issues with Cloud Data Box.
- Cloud Data Box release notes: See documentation updates.
Cloud Data Box related resources
Beyond the user guide, these resources provide additional context and support for Cloud Data Box. Whether you're considering Cloud Data Box or need in-depth information for development, marketing, and other purposes, these resources can help:
- Ncloud user environment guide: Explore VPC environment and supported services.
- Pricing and features: View pricing details and key capabilities.
- Latest announcements: Stay informed about service updates and news.
- FAQs: Get answers to common Cloud Data Box questions.
- Contact Support: Get help if you can't find what you need in the user guide.
FAQs
Q. What type of data do you provide?
- We provide half-yearly user behavior data including NAVER search and shopping, image and annotation data for AI training, and object data for news article and NLP analysis. Supplied data is subject to change.
- If you subscribe to Insight Option, you receive the latest NAVER search and shopping data.
Q. What analysis platforms do you offer?
- For high-volume data processing, we offer Cloud Hadoop, Spark, Hive, and Zeppelin Notebook. For AI model generation, we offer TensorFlow GPU, TensorFlow CPU, and Jupyter Notebook.
- Users can customize product specifications to meet their analysis needs and install additional services and modules on the provided infrastructure services for their use.