Introduction to SQL for BigQuery and Cloud SQL Reviews

Arya s. · Reviewed 11 days ago

Amazing!

Anchal P. · Reviewed 11 days ago

Ansh S. · Reviewed 11 days ago

Darshan D. · Reviewed 11 days ago

Adeeb I. · Reviewed 11 days ago

Atul G. · Reviewed 11 days ago

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RAJ G. · Reviewed 11 days ago

Lakshya S. · Reviewed 11 days ago

A13_B3_47_Ansh_ A. · Reviewed 11 days ago

Felipe S. · Reviewed 11 days ago

Nanda Yaso Vardhan M. · Reviewed 11 days ago

A13_B3_62 A. · Reviewed 11 days ago

Varad K. · Reviewed 11 days ago

Manikanta saran teja G. · Reviewed 11 days ago

Arya s. · Reviewed 11 days ago

Chandrakant_Maharana_ G. · Reviewed 11 days ago

excelent

Lizardo Enmanuel G. · Reviewed 12 days ago

Andika S. · Reviewed 12 days ago

Monika S. · Reviewed 12 days ago

good

Nirav ᴠ. · Reviewed 12 days ago

Kevin R. · Reviewed 12 days ago

Aanchal P. · Reviewed 12 days ago

Hi team, I would like to report a minor inconsistency/typo in the lab instructions for Task 4 and Task 7: In Task 4 (Export queries as CSV files), Step 1 instructs students to save the first CSV file locally as start_station_name.csv and the second as end_station_name.csv. However, in the subsequent section "Upload CSV files to Cloud Storage" (and later in Task 7, Step 4), the instructions refer to these files as start_station_data.csv and end_station_data.csv. This discrepancy between *_name.csv and *_data.csv creates confusion for learners during the Cloud Storage upload and Cloud SQL import steps. Please update the instructions so that the file naming remains consistent throughout all tasks. Thank you! Also Here In BigQuery, click the Explorer icon (first icon in the top menu bar for BigQuery), and then click + Add data. There is some testing as sometimes it is in “data explorer” tab this option “Add data” sometimes there is no “data explorer” but “classic explorer” and option “Add data” is in Explorer tab and this part “As you see, 13/14 stations share the top spots for rideshare starting and ending points. With some basic SQL keywords you were able to query a sizable dataset, which returned data points and answers to specific questions.” I got here 629 rows

Andriy B. · Reviewed 12 days ago

Image N. · Reviewed 12 days ago