Need an easy way to analyze and decipher the key BigQuery metrics using the Information Schema? | C2C Community

Need an easy way to analyze and decipher the key BigQuery metrics using the Information Schema?


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In this blog, the Google Cloud team will equip you with an easy way to analyze and decipher the key BigQuery metrics using the Information Schema.

The blog covers a couple of use cases: 

  • Analyze BigQuery Slot Consumption and  Concurrency for a Point in Time

  • Analyze Query Throughput and % Busy for a Time Period

One important highlight is to note the difference between “Concurrent Query Count” and “Query Throughput Count”.  

  • “Concurrent Query Count” represents the actual number of queries running at a specific point in time.  

  • “Query Count” which is often used to describe the number of queries running over some interval of time.  

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Have more questions on BigQuery? 

Check out our event, Create Valuable Business Insights with BigQuery on May 26th with Customer Engineer Dylan Zuniga

 

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