Databricks Notebook Workflow

Ajay-Pandey
Databricks MVP

Exciting news for Databricks users! The ability to view job details within the notebook workflow section, particularly for multithreaded jobs, is available now. Instead of manually inspecting each job for failures, this feature enables us to swiftly identify any issues directly from the workflow interface. It greatly enhances efficiency and streamlines the debugging process, especially in scenarios with concurrent job executions.
#databricks #workflow #notebbok #multithreding #spark #databrickslearning

 

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Ajay Kumar Pandey

Lakshay
Databricks Employee
Databricks Employee

Thank you for sharing