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Google BigQuery and PostgreSQL BigQuery for Data Analysis

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11:23:14

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  • 01.01-welcome to the course.mp4
    03:05
  • 01.02-course flow.mp4
    06:42
  • 02.01-postgresql and pgadmin installation.mp4
    09:33
  • 02.02-setting up bigquery on google cloud platform.mp4
    08:17
  • 02.03-bigquery interface.mp4
    18:07
  • 03.01-create.mp4
    11:49
  • 03.02-create in bigquery.mp4
    12:50
  • 03.03-exercise 1 create db and table.mp4
    01:27
  • 03.04-insert.mp4
    09:10
  • 03.05-insert in bigquery.mp4
    06:25
  • 03.06-import data from file.mp4
    05:00
  • 03.07-importing data from file using bigquery web user interface.mp4
    11:14
  • 03.08-file upload in google bigquery through google cloud sdk.mp4
    11:07
  • 03.09-importing data from google drive.mp4
    10:12
  • 03.10-exercise 2 inserting and importing.mp4
    00:56
  • 03.11-select.mp4
    03:47
  • 03.12-select in bigquery.mp4
    03:53
  • 03.13-select distinct.mp4
    06:05
  • 03.14-select distinct in bigquery.mp4
    02:56
  • 03.15-where function.mp4
    04:04
  • 03.16-where in bigquery.mp4
    05:45
  • 03.17-logical operators-and or not.mp4
    06:11
  • 03.18-logical operators in bigquery.mp4
    07:30
  • 03.19-exercise 3 select and where.mp4
    01:18
  • 03.20-update.mp4
    05:24
  • 03.21-update in bigquery.mp4
    03:04
  • 03.22-delete.mp4
    04:12
  • 03.23-delete in bigquery.mp4
    03:14
  • 03.24-alter.mp4
    17:22
  • 03.25-alter in bigquery.mp4
    03:21
  • 03.26-exercise 4 updating table.mp4
    01:00
  • 04.01-restore and backup.mp4
    07:37
  • 04.02-debugging restoration.mp4
    08:27
  • 04.03-creating db using csv files.mp4
    05:41
  • 04.04-data set creation in bigquery.mp4
    11:11
  • 04.05-exercise 5 restore and backup.mp4
    00:51
  • 05.01-in.mp4
    04:26
  • 05.02-in in bigquery.mp4
    02:53
  • 05.03-between.mp4
    05:42
  • 05.04-between in bigquery.mp4
    04:07
  • 05.05-like.mp4
    08:52
  • 05.06-like in bigquery.mp4
    07:41
  • 05.07-exercise 6 in like and between.mp4
    00:46
  • 06.01-order by.mp4
    07:41
  • 06.02-order by in bigquery.mp4
    04:41
  • 06.03-limit.mp4
    03:40
  • 06.04-limit in bigquery.mp4
    05:51
  • 06.05-order by.mp4
    00:44
  • 07.01-as.mp4
    03:32
  • 07.02-as in bigquery.mp4
    02:25
  • 08.01-count.mp4
    05:14
  • 08.02-count in bigquery.mp4
    04:46
  • 08.03-sum.mp4
    03:23
  • 08.04-sum in bigquery.mp4
    02:00
  • 08.05-average.mp4
    02:52
  • 08.06-average in bigquery.mp4
    03:10
  • 08.07-min max.mp4
    04:16
  • 08.08-min max in bigquery.mp4
    02:54
  • 08.09-exercise 8 aggregate functions.mp4
    01:15
  • 09.01-group by.mp4
    11:52
  • 09.02-group by in bigquery.mp4
    05:37
  • 09.03-having.mp4
    05:04
  • 09.04-having in bigquery.mp4
    04:45
  • 09.05-exercise 9 group by.mp4
    01:06
  • 10.01-case when.mp4
    05:20
  • 10.02-case when in bigquery.mp4
    06:14
  • 11.01-introduction to joins.mp4
    02:55
  • 11.02-concepts of joining and combining data.mp4
    12:00
  • 11.03-preparing the data.mp4
    02:03
  • 11.04-creating datasets for joins in bigquery.mp4
    03:40
  • 11.05-inner join.mp4
    08:02
  • 11.06-inner join in bigquery.mp4
    07:42
  • 11.07-left join.mp4
    07:30
  • 11.08-left join in bigquery.mp4
    04:08
  • 11.09-right join.mp4
    06:28
  • 11.10-right join in bigquery.mp4
    05:05
  • 11.11-full outer join.mp4
    04:59
  • 11.12-full outer join in bigquery.mp4
    05:09
  • 11.13-cross join.mp4
    04:22
  • 11.14-cross join in bigquery.mp4
    04:25
  • 11.15-intersect and intersect all.mp4
    07:09
  • 11.16-except.mp4
    02:54
  • 11.17-except in bigquery.mp4
    04:43
  • 11.18-union.mp4
    03:09
  • 11.19-union in bigquery.mp4
    04:41
  • 11.20-exercise 10 joins.mp4
    01:08
  • 12.01-subqueries.mp4
    14:34
  • 12.02-subqueries in bigquery.mp4
    05:53
  • 12.03-exercise 11 subqueries.mp4
    01:11
  • 13.01-views.mp4
    07:21
  • 13.02-views in bigquery.mp4
    03:20
  • 13.03-index.mp4
    06:39
  • 13.04-views in bigquery.mp4
    01:33
  • 13.05-exercise 12 views.mp4
    00:43
  • 14.01-length.mp4
    03:31
  • 14.02-length in bigquery.mp4
    03:11
  • 14.03-upper lower.mp4
    02:12
  • 14.04-changing case in bigquery.mp4
    02:06
  • 14.05-replace.mp4
    04:14
  • 14.06-replace in bigquery.mp4
    03:11
  • 14.07-trim ltrim rtrim.mp4
    06:57
  • 14.08-trim ltrim rtrim in bigquery.mp4
    05:18
  • 14.09-concatenation.mp4
    02:58
  • 14.10-concatenation in bigquery.mp4
    05:28
  • 14.11-substring.mp4
    06:02
  • 14.12-substring in google bigquery.mp4
    05:43
  • 14.13-list aggregation.mp4
    05:03
  • 14.14-list aggregation in google bigquery.mp4
    05:10
  • 14.15-exercise 13 string functions.mp4
    02:30
  • 15.01-ceil and floor.mp4
    03:33
  • 15.02-ceil and floor in bigquery.mp4
    05:50
  • 15.03-random.mp4
    05:08
  • 15.04-random in bigquery.mp4
    05:38
  • 15.05-setseed.mp4
    04:13
  • 15.06-setseed in bigquery.mp4
    00:23
  • 15.07-round.mp4
    02:28
  • 15.08-power.mp4
    02:27
  • 15.09-power in bigquery.mp4
    02:00
  • 15.10-exercise 14 mathematical functions.mp4
    01:34
  • 16.01-current date and time.mp4
    04:32
  • 16.02-current date and time in bigquery.mp4
    04:53
  • 16.03-age.mp4
    03:52
  • 16.04-age in bigquery.mp4
    08:13
  • 16.05-extract.mp4
    08:20
  • 16.06-extract in bigquery.mp4
    03:52
  • 16.07-exercise 15 date-time functions.mp4
    01:15
  • 17.01-pattern matching basics.mp4
    07:40
  • 17.02-advance pattern matching (regular expressions).mp4
    15:22
  • 17.03-pattern matching in bigquery.mp4
    07:58
  • 17.04-exercise 16 pattern matching.mp4
    01:44
  • 18.01-google data studio to visualize bigquery data.mp4
    03:43
  • 9781803237633 Code.zip
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    Packt is a publishing company founded in 2003 headquartered in Birmingham, UK, with offices in Mumbai, India. Packt primarily publishes print and electronic books and videos relating to information technology, including programming, web design, data analysis and hardware.
    • language english
    • Training sessions 131
    • duration 11:23:14
    • Release Date 2024/03/16