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

Rupy N. · Revisado há almost 3 years

ASITRANJAN S. · Revisado há almost 3 years

Task 1 is not getting completed even after performing task correctly

Krishna V. · Revisado há almost 3 years

Task 6 requirement not clear.

Simon L. · Revisado há almost 3 years

This is awesome. I learned so much new things about bigquery.

ikpesu e. · Revisado há almost 3 years

Task 1 is not getting completed even after performing task correctly

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慶己 平. · Revisado há almost 3 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 almost 3 years

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Barjendar P. · Revisado há almost 3 years

good exercise

Jeffrey Z. · Revisado há almost 3 years

Saadain K. · Revisado há almost 3 years

Mykhailo B. · Revisado há almost 3 years