Membangun Data Warehouse dengan BigQuery: Challenge Lab Ulasan

Waiz W. · Diulas hampir 5 tahun lalu

Mobility query was correct but the check did not go through

Jakub W. · Diulas hampir 5 tahun lalu

Crystal C. · Diulas hampir 5 tahun lalu

task cannot pass, got bug

Charlton K. · Diulas hampir 5 tahun lalu

Erik S S. · Diulas hampir 5 tahun lalu

Daryl G. · Diulas hampir 5 tahun lalu

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. · Diulas hampir 5 tahun lalu

Broken task...

Nanshan L. · Diulas hampir 5 tahun lalu

Jason C. · Diulas hampir 5 tahun lalu

William C. · Diulas hampir 5 tahun lalu

glitchy

Xian Xun S. · Diulas hampir 5 tahun lalu

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. · Diulas hampir 5 tahun lalu

Guang Yi L. · Diulas hampir 5 tahun lalu

CHEN J. · Diulas hampir 5 tahun lalu

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. · Diulas hampir 5 tahun lalu

CHUN HONG L. · Diulas hampir 5 tahun lalu

Wai Leong L. · Diulas hampir 5 tahun lalu

Ken C. · Diulas hampir 5 tahun lalu

CHUN HONG L. · Diulas hampir 5 tahun lalu

CHUN HONG L. · Diulas hampir 5 tahun lalu

Kok Sin Y. · Diulas hampir 5 tahun lalu

Tan K. · Diulas hampir 5 tahun lalu

useless as the year used is different, not updated

Lim R. · Diulas hampir 5 tahun lalu

William C. · Diulas hampir 5 tahun lalu

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. · Diulas hampir 5 tahun lalu