To showcase the result of a saved process in BigQuery that invokes Apache Spark, you can follow these steps:
First, make sure that the process has been saved and completed successfully in BigQuery using the Apache Spark runtime.
Go to the BigQuery UI and select the dataset that contains the output of your process.
Click on the table that contains the output of your process.
Once you are inside the table view, you can preview the data by clicking on the "Preview" tab.
If you are satisfied with the preview, you can then use SQL queries to manipulate and analyze the data further.
To do this, click on the "Query" tab and write your SQL query in the editor.
Once you have written your query, click on the "Run" button to execute the query.
The results of your query will be displayed in the "Results" tab.
You can also export the results to various file formats such as CSV, JSON, and Avro, by clicking on the "Export" button.
Finally, you can also visualize the results using various tools like Data Studio, Tableau, or Looker.
Asked: 2022-12-23 11:00:00 +0000
Seen: 10 times
Last updated: Aug 20 '21