Data Lab Management

Overview

The Data Lab Management page allows you to view and perform operations related your Data Lab projects and scheduled notebooks. Access it by clicking your username in the Seeq header and selecting “Data Lab Management.”

Schedule Notebooks

Overview

In this tab, you can view the currently scheduled notebooks, their running status, and statistics such as last run duration and any warnings or errors during execution.

Usage

Navigate to your project by clicking the project name or directly to the notebook by clicking the notebook name.

The table allows sorting and filtering to more easily find any notebook. The columns can be resized and reordered by drag-and-drop to get better visualization of your data. Note that not all the columns are displayed by default.. Click the dots next to any column name and click “Choose Columns” to configure the current view.

You can view the real‑time status of any notebook in the “Running” column. A checked box indicates that the notebook is currently executing.

Should a notebook present problems by either executing an endless loop or taking too long, you can terminate the current execution. This does not mean unscheduling the notebook, just stopping the current execution before it completes by itself. Select the notebook which is showing as running and click “Terminate Selected”. A message that the action took place will be shown in the top right corner of the page.

Projects

Overview

In this tab, you can view all projects in which you have permission, their running status, and properties such as disk size, project type, last updated datetime, and the Python versions which have locally installed packages,

Usage

Navigate to your project by clicking the project name.

The table allows sorting and filtering to more easily find any project. The columns can be resized and reordered by drag-and-drop to get better visualization of your data. Note that not all the columns are displayed by default.. Click the dots next to any column name and click “Choose Columns” to configure the current view.

You can view the real‑time status of any project in the “Running” column. A checked box indicates that the project has a running instance. The “Running User” column informs the user name and email of the user running an instance of the project. There will be additional rows in the table if more than one user is running an instance of the project. Only admins will see project instances other than their own. If the running project has project type Data Lab Functions, then the number of active users will be shown in the “Running User” column.

You can terminate running project instances by selecting the project(s) which are showing as running and click “Terminate Selected”. A message that the action took place will be shown in the top right corner of the page.