Criar um data warehouse com o BigQuery: laboratório com desafio avaliações

Yamschinsky V. · Revisado há over 2 years

Dhafer S. · Revisado há over 2 years

慶己 平. · Revisado há over 2 years

I tried to perform #5 on a different way and it was invalid, the same number of rows were updated MERGE INTO `qwiklabs-gcp-04-d90d10ba47c5.covid_494.oxford_policy_tracker_801` AS TARGET USING (SELECT country_region, date, AVG(retail_and_recreation_percent_change_from_baseline) as avg_retail, AVG(grocery_and_pharmacy_percent_change_from_baseline) as avg_grocery, AVG(parks_percent_change_from_baseline) as avg_parks, AVG(transit_stations_percent_change_from_baseline) as avg_transit, AVG( workplaces_percent_change_from_baseline ) as avg_workplace, AVG( residential_percent_change_from_baseline) as avg_residential FROM `qwiklabs-gcp-04-d90d10ba47c5.covid_494.mobility_report` GROUP BY country_region, date) AS SOURCE ON (TARGET.date = SOURCE.date and TARGET.country_name = SOURCE.country_region) WHEN MATCHED THEN UPDATE SET TARGET.mobility = [STRUCT(SOURCE.avg_retail, SOURCE.avg_grocery, SOURCE.avg_parks, SOURCE.avg_transit, SOURCE.avg_workplace ,SOURCE.avg_residential)]

Emmanuel M. · Revisado há over 2 years

Humberto R. · Revisado há over 2 years

Barjendar P. · Revisado há over 2 years

good exercise

Jeffrey Z. · Revisado há over 2 years

Saadain K. · Revisado há over 2 years

Mykhailo B. · Revisado há over 2 years

Liliia L. · Revisado há over 2 years

Ostap K. · Revisado há over 2 years

aleksandr s. · Revisado há over 2 years

Klaudia K. · Revisado há over 2 years

MaheshKumar S. · Revisado há over 2 years

慶己 平. · Revisado há over 2 years

明応 堀. · Revisado há over 2 years

Ninad G. · Revisado há over 2 years

Viktor L. · Revisado há over 2 years

Nilesh B. · Revisado há over 2 years

Pratiksha R. · Revisado há over 2 years

慶己 平. · Revisado há over 2 years

Manankumar P. · Revisado há over 2 years

Michael A. · Revisado há over 2 years

Jason W. · Revisado há over 2 years

Mamadou P. · Revisado há over 2 years