Build a Data Warehouse with BigQuery: Challenge Lab Reviews
52999 reviews
Waiz W. · Reviewed почти 5 лет ago
Mobility query was correct but the check did not go through
Jakub W. · Reviewed почти 5 лет ago
Crystal C. · Reviewed почти 5 лет ago
task cannot pass, got bug
Charlton K. · Reviewed почти 5 лет ago
Erik S S. · Reviewed почти 5 лет ago
Daryl G. · Reviewed почти 5 лет ago
Task 5 was weird, I couldn't pass it despite having the correct queries written. Did some googling and came across this command: ALTER TABLE `covid_850.oxford_policy_tracker_557` SET OPTIONS ( partition_expiration_days=NULL ); which allowed me to pass this test but goes against the initial lab instructions of setting partition_expiration_days=90. Do review this to help future lab takers!
Patrick C. · Reviewed почти 5 лет ago
Broken task...
Nanshan L. · Reviewed почти 5 лет ago
Jason C. · Reviewed почти 5 лет ago
William C. · Reviewed почти 5 лет ago
glitchy
Xian Xun S. · Reviewed почти 5 лет ago
The lab was good but I could not complete Task 5 as the description & tips did not help me arrive at an accurate answer.
Wilson C. · Reviewed почти 5 лет ago
Guang Yi L. · Reviewed почти 5 лет ago
CHEN J. · Reviewed почти 5 лет ago
There's a bug in quest 5 which require self-fixing in order to pass the quest. Execute "ALTER TABLE <DATASET_NAME>.<TABLE_NAME> SET OPTIONS (partition_expiration_days=null)" before executing your query. Overall, it's a bad experience as bugs are present in challenge lab.
Dickson T. · Reviewed почти 5 лет ago
CHUN HONG L. · Reviewed почти 5 лет ago
Wai Leong L. · Reviewed почти 5 лет ago
Ken C. · Reviewed почти 5 лет ago
CHUN HONG L. · Reviewed почти 5 лет ago
CHUN HONG L. · Reviewed почти 5 лет ago
Kok Sin Y. · Reviewed почти 5 лет ago
Tan K. · Reviewed почти 5 лет ago
useless as the year used is different, not updated
Lim R. · Reviewed почти 5 лет ago
William C. · Reviewed почти 5 лет ago
Task 5: Populate the mobility record data no able to clear i don know why below is my query: UPDATE covid_601.oxford_policy_tracker_961 t0 SET t0.mobility.avg_retail = t1.avg_retail, t0.mobility.avg_grocery = t1.avg_grocery, t0.mobility.avg_parks = t1.avg_parks, t0.mobility.avg_transit = t1.avg_transit, t0.mobility.avg_workplace = t1.avg_workplace, t0.mobility.avg_residential = t1.avg_residential FROM ( 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 `bigquery-public-data.covid19_google_mobility.mobility_report` GROUP BY country_region, date ) AS t1 WHERE CONCAT(t0.region_name, t0.date) = CONCAT(t1.country_region, t1.date);
Tang w. · Reviewed почти 5 лет ago
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