BRIEF OVERVIEW
To pull detailed Databricks usage for the month of July, you can use the following steps:
- Login to your Databricks account.
- Go to the Admin Console or navigate to the Usage tab.
- Select the desired time range as “July” from the date picker.
- Choose any additional filters or parameters you want to include in your usage report.
- Click on “Generate Report” or similar button provided by Databricks. This will initiate the process of generating a detailed usage report specifically for July.
- You may need to wait for a few moments depending on the size and complexity of your data before you can download or view the generated report.
FAQs – Frequently Asked Questions
Q: Can I customize my Databricks usage report?
A: Yes, you can customize your Databricks usage report by applying various filters and selecting specific parameters according to your requirements. This allows you to focus on particular aspects of your usage data and obtain more granular insights into different areas such as user activities, job executions, cluster utilization, and more.
Q: How long does it take to generate a detailed usage report?
A: The time taken to generate a detailed usage report depends on factors like data volume and complexity. For smaller datasets with simpler configurations, it should be relatively quick. However, larger datasets with complex workloads might require more time. It is recommended that you allow some patience during this process if dealing with extensive usage data.
Q: Can I export the Databricks usage report to a different format?
A: Yes, Databricks usually provides options to export the generated usage report in various formats such as CSV (Comma Separated Values), XLSX (Excel Workbook), or PDF (Portable Document Format). You can choose the format that best suits your needs and preferences for further analysis or sharing with others.
BOTTOM LINE
Pulling detailed Databricks usage for July is a straightforward process. By following the steps mentioned above, you can generate a customized report that provides valuable insights into your platform’s utilization during that specific month. Remember to take into account factors like data volume and complexity when estimating the time required for generating this report.