Examining Billing data with BigQuery Reviews

164055 reviews

Jaroth Jose M. · Reviewed 23 дней ago

Manoj V. · Reviewed 23 дней ago

Vishal R. · Reviewed 23 дней ago

Jorge Luis M. · Reviewed 23 дней ago

Iron A. · Reviewed 23 дней ago

Roberto C. · Reviewed 23 дней ago

Jolie M. · Reviewed 23 дней ago

none

Emmanuel V. · Reviewed 23 дней ago

Nour S. · Reviewed 23 дней ago

Ashish K. · Reviewed 23 дней ago

ok

Francisco Alan L. · Reviewed 23 дней ago

JOHN MAXIMAS J S. · Reviewed 23 дней ago

david a. · Reviewed 23 дней ago

HARIHARAN K. · Reviewed 23 дней ago

Gasser E. · Reviewed 23 дней ago

Salma Z. · Reviewed 23 дней ago

David P. · Reviewed 23 дней ago

Number 10 is confusing. because in my query it should be it 62 charges and over $223 costs. The question: 9. To find the most frequently used product costing more than 1 dollar, for New Query, paste the following in Query Editor: SELECT service.description, COUNT(*) AS billing_records FROM `billing_dataset.sampleinfotable` WHERE cost > 1 GROUP BY service.description ORDER BY billing_records DESC 10. Click Run. Which product had the most billing records of over $1 [/] Cloud Storage has 17 charges costing more than 62 dollar. [ ] Kubernetes Engine has 7 charges costing more than 1 dollar. [ ] Cloud SQL has 15 charges costing more than 1 dollar. SHOULD IT BE THIS? SELECT service.description, COUNT(*) AS billing_records, ROUND(SUM(cost),2) AS total_cost FROM `billing_dataset.sampleinfotable` WHERE cost > 1 GROUP BY service.description ORDER BY billing_records DESC

Joseph A. · Reviewed 23 дней ago

Lisha J. · Reviewed 23 дней ago

Anh Tú N. · Reviewed 23 дней ago

Mahendra J. · Reviewed 23 дней ago

Malak A. · Reviewed 23 дней ago

Dany R. · Reviewed 23 дней ago

Sai V. · Reviewed 23 дней ago

Prasada .. · Reviewed 23 дней ago

We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.