Data Query overview

Available in VPC

The Data Query service provides a serverless interactive query service that allows for easy analysis of large scale structured or unstructured data. You can execute queries quickly and easily using standard SQL in a convenient environment that does not require data format and infrastructure management.

Data Query service features

Data Query service provides the following features:

• Convenient query environment: the service is delivered through Trino, the most suitable SQL engine for large scale data analysis, and offers template queries to facilitate easy and fast writing of SQL queries.
• Integrated data analysis with Data Catalog service: by linking with NAVER Cloud Platform's Data Catalog service, it enables integrated viewing and analysis of data scattered across various storages.
• Effective SQL query management: features are provided to reuse previously executed query results or save frequently used queries. You can also check detailed information about executed queries in the query history menu.
• Flexible serverless environment: being a serverless environment, it guarantees high availability through automatic scaling and automatic routing, etc. You can execute queries that are optimized for your data set and the complexity of your query.

About Data Query service user guide

Data Query service provides its services to the Korean Region. For best use of Data Query service, see the following table of contents and each of their details.

• Data Query overview: Data Query service introduction, relevant resources facilitating use of the service
• Prerequisites for using Data Query: support specifications, personal information collection and use, and usage pricing information for using Data Query service
• Data Query scenarios: guide to the entire process using Data Query service
• VPC: how to get started with, use and develop Data Query service on the VPC platform
  • Getting started with Data Query: instructions on how to start using the Data Query service
    • Data source preparation: guide to preparing source data for the query service
    • Subscription and unsubscription: provides guide on how to subscribe and unsubscribe to the service
  • Using Data Query: guide on how to use Data Query service from NAVER Cloud Platform console
    • Dashboard: guide on instructions on how to check the main usage status of the Data Query service on the dashboard
    • Query Editor: guide on how to add data sources and execute queries
      • Query Editor screen: guide on the layout of the Query Editor menu
      • Add and manage data sources: guide on how to register prepared data sources and manage data sources and their tables
      • Execute and manage query: guide on executing, simulating, and saving queries
      • Check result: guide on how to check and download query results and related settings
    • Query history: guide on how to check the query execution history
    • CLI & JDBC: guide on how to use the CLI and JDBC provided by Data Query
      • CLI: guide on how to use CLI
      • JDBC: guide on how to use JDBC
• Manage Data Query resources: Data Query service resources by using the Resource Manager service and Cloud Activity Tracer service, the task history by resource type
• Data Query glossary: terms you must know when using Data Query:
• Data Query release notes: update history for Data Query guide

Data Query service related relevant resources

NAVER Cloud Platform offers a variety of relevant resources in addition to user guides in order to help customers understand Data Query. If you are considering whether to introduce Data Query or in need of detailed information for developing data-related policy as a developer, marketer, and so on, make good use of the following resources.

• For advanced understanding and use of Data Query service
  • Ncloud user environment guide: a guide on VPC environment and supported features
  • Pricing plans, specifications, detailed features: overview of Data Query service pricing plans, specifications and detailed features
  • Latest service news: the latest news on Data Query service
  • Contact us: send direct inquiries in case of any unresolved questions that aren't answered by the user guide
• Using integration service user guide for using Data Query service
  • Data Catalog user guide: instructions on using the Data Catalog service, which acts as a repository for source data for the query service
  • Object Storage user guide: instructions on using the Object Storage service to create object storage buckets as repositories for source data and query results
  • Sub Account user guide: how to use Sub Account service that supports Data Query service operational management