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: 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: Prepare a landing page optimized for each customer or 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: 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: Analyze the data accumulated at NAVER including search and shopping histories and AI data to gain insight into your target market and potential customers.
- An analysis environment for data utilization: Effortlessly configure various analysis infrastructures such as Ncloud TensorFlow Server or Hadoop Cluster for efficient data analysis. You can also take advantage of the default analytics tools such as Jupyter Notebook or Zeppelin to examine the data efficiently and with ease.
- Safe data storage: Cloud Data Box maintains an impeccable level of security in cloud-based computing environments. As it limits data exports without necessary authorization, your data and analysis results are securely protected.
- Client data integration and analysis: 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.
- Customizable analysis infrastructure and analysis data source: Clients can freely configure infrastructure based on their objectives and scales of their analysis and select NAVER data most suitable to their 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 services, features, FAQs and find helpful resources.
- Cloud Data Box prerequisites: View requirements.
- Cloud Data Box quickstart: Follow a step-by-step guide through the entire process.
- Getting started with Cloud Data Box: Introduces the first steps of using Cloud Data Box.
- Manage subscriptions: Subscribe to and manage your Cloud Data Box.
- Using Cloud Data Box: Learn how to access Cloud Data Box.
- 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 Options.
- 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 resources using NAVER Cloud Platform's Resource Manager and Cloud Activity Tracer.
- Cloud Data Box permissions management: Learn how to manage Sub Account policies.
- 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: A guide on the VPC environment and supported features
- Pricing plans, characteristics, and detailed features: A summary of Cloud Data Box's pricing plans, characteristics, and detailed features
- Latest announcements: Stay informed about service updates and news.
- FAQs: Get answers to common 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.