Learning BigQuery

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1:58:45

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01.01-introducing_bigquery.mp4

03:54

02.01-bigquery_services_and_compute_process.mp4

04:17

02.02-the_arrangement_of_data_in_bigquery.mp4

05:32

02.03-data_sources_and_queries_in_bigquery.mp4

03:41

02.04-the_bigquery_cost_structure.mp4

04:12

03.01-configuring_the_gcp.mp4

03:33

03.02-creating_a_bigquery_dataset.mp4

05:16

03.03-defining_a_bigquery_table_from_the_ui.mp4

04:45

03.04-querying_a_simple_bigquery_table.mp4

04:56

03.05-uploading_data_to_create_a_bigquery_table.mp4

03:56

03.06-querying_data_and_viewing_statistics_of_queries.mp4

03:31

03.07-reading_json_data_into_a_bigquery_table.mp4

02:28

03.08-creating_a_table_from_a_query_result.mp4

04:22

03.09-creating_a_table_from_a_filter.mp4

02:27

04.01-public_datasets_in_bigquery.mp4

03:00

04.02-configuring_and_using_bigquery_caches.mp4

04:18

04.03-external_bigquery_tables.mp4

04:13

04.04-integrating_bigquery_with_data_studio.mp4

05:23

04.05-geographic_points_in_bigquery.mp4

04:03

04.06-visualizing_geographical_data_with_geo_viz.mp4

05:18

05.01-saving_query_results_using_views.mp4

05:47

05.02-querying_views_vs._querying_the_original_tables.mp4

02:50

05.03-materialized_views_in_bigquery.mp4

05:21

05.04-defining_a_restricted_view_of_data.mp4

03:33

05.05-granting_a_user_project-level_access.mp4

04:12

05.06-setting_up_an_authorized_view.mp4

03:43

06.01-configuring_the_bq_shell.mp4

04:23

06.02-executing_queries_from_the_bigquery_command-line.mp4

05:12

07.01-summary_and_next_steps.mp4

00:39

Description

If you’re just getting started with BigQuery, this course was made for you. Find out why everyone’s talking about the cloud-hosted data warehouse on the Google Cloud Platform. Join software engineer and instructor Kishan Iyer as he gives you an overview of the skills you need to know to set up a BigQuery data warehouse.

Discover supercharged business intelligence with cost-effective solutions. Learn the basics of BigQuery for data-driven decision-making at scale. Explore tips and tricks to help you get the most out of this powerful and easy-to-use tool: building, modifying, and working with datasets and tables; executing queries and visualizing results; and creating views to save and store results for speedy analysis on the go. By the end of this course, you’ll also be primed to start using the bq command-line tool.

This course was created by Kishan Iyer. We are pleased to host this training in our library.

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