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 features

Data Query offers these key features:

• Convenient query environment: Powered by Trino, a SQL engine optimized for large‑scale analytics.Includes template queries that help you write SQL quickly.
• Integrated analytics with Data Catalog: Integrates with NAVER Cloud Platform’s Data Catalog service so you can browse and analyze data scattered across multiple repositories.
• Effective SQL query management: Effective features are provided to reuse previously executed query results or save frequently used queries. You can also check detailed information about executed queries in Query history.
• Flexible serverless environment: As a serverless service, it provides high availability through auto scaling and auto routing. You can execute queries that are optimized for your data set and the complexity of your query.

Data Query user guide

Data Query is available in the Korean Region. Use this guide to get the most out of Data Query.

• Data Query overview: Learn about the service and find helpful resources.
• Data Query prerequisites: View supported specifications, personal information collection and use, and pricing information.
• Data Query quickstart: Follow a step‑by‑step guide through the entire process.
• Getting started: Learn how to manage subscriptions.
  • Prepare data source: Learn how to prepare source data for querying.
  • Manage subscriptions: Subscribe to and manage your Data Query.
• Using Data Query: Learn how to access Data Query from the NAVER Cloud Platform console.
  • Dashboard: Check key usage metrics for Data Query.
  • Query Editor: Add data sources and run queries.
    • Query Editor interface: Learn the layout of the Query Editor menu.
    • Add and manage data sources: Register prepared data sources and manage data sources and their tables.
    • Run and manage queries: Run queries, use dry runs, and save queries.
    • View results View and download query results and configure related options.
  • Query history: Review your query execution history.
  • SDK: Learn how to use SDK Client provided by Data Query.
    • Python Client: Learn how to use Python Client.
    • Go Client: Learn how to use Go Client.
  • CLI & JDBC: Learn how to use CLI and JDBC provided by Data Query.
    • CLI: Learn how to use CLI.
    • JDBC: Learn how to use JDBC.
  • Connect to external BI: Learn how to connect Data Query from an external BI tool.
    • External BI prerequisites: Preparations for external BI connection.
    • Superset: Learn how to integrate with Apache Superset.
    • Zeppelin: Learn how to integrate with Apache Zeppelin.
• Data Query examples: Learn how to analyze user data with Data Query and use template queries.
  • Use Load Balancer access log: How to manage Load Balancer access log data, and analysis examples using template queries.
  • Use Object Storage bucket access log: How to manage bucket access log data, and analysis examples using template queries.
• Data Query permissions management: Manage accounts using NAVER Cloud Platform’s Sub Account.
• Data Query resource management: Manage resources using NAVER Cloud Platform’s Resource Manager and Cloud Activity Tracer.
• Data Query glossary: Find key terms and definitions.
• Data Query release notes: See documentation updates.

Data Query related resources

Beyond the user guide, these resources provide additional context and support for Data Query. Whether you're considering Data Query or need in-depth information for development, marketing, and other purposes, these resources can help:

• Learn more about Data Query
  • 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.
  • Customer Support: Get help if you can't find what you need in the user guide.
• Learn about integrated services
  • Data Catalog user guide: How to use Data Catalog, the repository for source data.
  • Object Storage user guide: How to create Object Storage buckets as repositories for source data and query results.
  • Sub Account user guide: Manage team access for Data Query.