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To provide users with a seamless, efficient way to manage data pipelines across multiple tables. Users will save significant time and effort, enabling them to focus on deriving insights rather than managing repetitive tasks. This feature will enhance usability, improve user satisfaction, and reinforce the DAP CLI as a critical tool for educational data management.

To provide users with a seamless, efficient way to manage data pipelines across multiple tables. Users will save significant time and effort, enabling them to focus on deriving insights rather than managing repetitive tasks. This feature will enhance usability, improve user satisfaction, and reinforce the DAP CLI as a critical tool for educational data management.

What's new?

Multi-Table Operations: Perform operations like snapshots, incremental updates, schema retrieval, and database synchronization for all or multiple tables within a namespace using a single command.
• Enhanced Commands: Existing commands (initdb, syncdb, dropdb) are extended to support multi-table functionality, maintaining backward compatibility.
• Improved Usability: Simplifies workflows by eliminating the need to loop through individual tables, making the DAP CLI more intuitive and efficient for users.
• Optimized API Utilization: Designed to operate within the API gateway limits, ensuring smooth and reliable performance.

This feature redefines how users interact with namespaces, empowering them to work more efficiently and effectively.

Why is it valuable?

Managing data pipelines for multiple tables can be a tedious and time-consuming process for users. Currently, users must manually loop through individual tables to perform operations like snapshots, incremental updates, schema retrieval, and database synchronization. This not only increases operational complexity but also reduces time available for meaningful data analysis. By enabling operations on all or multiple tables within a namespace in a single command, this feature streamlines workflows, reduces manual effort, and aligns with DAP CLI's north star metric of reducing time spent on data pipeline management while increasing focus on actionable insights.

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