1.

2.

3.

4.

5.
Column 1 Column 2 Column 3
Row 1
Row 2
Row 3
Row 4

6.

7.

8.

9.
user_id(int) event(string) event_date(string)
1 login_facebook 2019-05-14
1 write_posting 2019-05-14
1 write_comment 2019-05-14
1 view_posting 2019-05-14
1 view_posintg 2019-05-14
2 login_facebook 2019-05-14
2 view_posting 2019-05-14
2 view_posting 2019-05-14
2 write_comment 2019-05-14
2 logout 2019-05-14
2 login_facebook 2019-05-15
3 login_google 2019-05-15
3 write_posting 2019-05-15
3 view_posting 2019-05-15
3 purchase_item 2019-05-18
3 write_comment 2019-05-17
1 view_posting 2019-05-17
4 view_posintg 2019-05-17
5 purchase_item 2019-05-16

10.
user_id event event_date
1 login_facebook 2019-05-14
1 write_posting 2019-05-14
1 write_comment 2019-05-14
1 view_posting 2019-05-14
1 view_posintg 2019-05-14

11.
user_id event event_date
1 login_facebook 2019-05-14
1 write_posting 2019-05-14
1 write_comment 2019-05-14
1 view_posting 2019-05-14
1 view_posintg 2019-05-14

12.
user_id event event_date unique total
1 login_facebook 2019-05-14 1 1
1 write_posting 2019-05-14 1 1
1 write_comment 2019-05-14 1 1
1 view_posting 2019-05-14 1 2

13.
user_id event event_date unique total
1 login_facebook 2019-05-14 1 1
1 write_posting 2019-05-14 1 1
1 write_comment 2019-05-14 1 1
1 view_posting 2019-05-14 1 2

14.

15.

16.
SELECT EXTRACT(DAY FROM DATE '2019-12-25') as the_day;
+---------+
| the_day |
+---------+
| 25 |
+---------+

17.
SELECT DATE_ADD(DATE “2019-03-25", INTERVAL 5 DAY) as five_days_later;
+--------------------+
| five_days_later |
+--------------------+
| 2019-03-30 |
+--------------------+
SELECT DATE_DIFF(DATE '2010-07-07', DATE '2008-12-25', DAY) as days_diff;
+-----------+
| days_diff |
+-----------+
| 559 |
+-----------+

18.
SELECT DATE_TRUNC(DATE '2008-12-25', MONTH) as month;
+------------+
| month |
+------------+
| 2008-12-01 |
+------------+

19.
SELECT FORMAT_DATE("%x", DATE "2019-12-25") as US_format;
+------------+
| US_format |
+------------+
| 12/25/19 |
+------------+
SELECT PARSE_DATE("%x", "12/25/19") as parsed;
+------------+
| parsed |
+------------+
| 2019-12-25 |
+------------+

20.
SELECT EXTRACT(HOUR FROM CAST(‘2019-12-25 14:00:00’ AS DATETIME) as hour;
+---------+
| hour |
+---------+
| 14 |
+---------+

21.

22.

23.

24.
Python

25.

26.
https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types

27.
https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types

28.
https://cloud.google.com/bigquery/docs/reference/standard-sql/arrays

29.
https://cloud.google.com/bigquery/docs/reference/standard-sql/arrays

30.
https://cloud.google.com/bigquery/docs/reference/standard-sql/arrays#arrays-and-aggregation

31.
https://cloud.google.com/bigquery/docs/reference/standard-sql/arrays#arrays-and-aggregation

32.
https://cloud.google.com/bigquery/docs/reference/standard-sql/arrays#arrays-and-aggregation

33.
https://cloud.google.com/bigquery/docs/reference/standard-sql/arrays

34.
https://cloud.google.com/bigquery/docs/reference/standard-sql/arrays

35.
https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#struct-type

36.
https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#struct-type

37.
https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#struct-type

38.
https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#with_clause

39.
https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#with_clause

40.
https://cloud.google.com/bigquery/docs/views-intro

41.
https://cloud.google.com/bigquery/docs/views-intro

42.
https://cloud.google.com/bigquery/docs/views-intro

43.
https://cloud.google.com/bigquery/docs/views-intro

44.
https://cloud.google.com/bigquery/docs/views-intro

45.
https://cloud.google.com/bigquery/docs/reference/standard-sql/analytic-function-concepts

46.
https://cloud.google.com/bigquery/docs/reference/standard-sql/analytic-function-concepts

47.
user_id visit_month
1004 1
1004 3
1004 7
1004 8
2112 3
2112 6
2112 7
3912 4

48.
user_id visit_month next_visit_month
1004 1
1004 3
1004 7
1004 8
2112 3
2112 6
2112 7
3912 4

49.
user_id visit_month next_visit_month
1004 1 3
1004 3 7
1004 7 8
1004 8 null
2112 3 6
2112 6 7
2112 7 null
3912 4 null

50.
user_id visit_month
1004 1
1004 3
1004 7
1004 8
2112 3
2112 6
2112 7
3912 4
user_id visit_month
1004 1
1004 3
1004 7
1004 8
user_id visit_month
2112 3
2112 6
2112 7
user_id visit_month
3912 4

51.
user_id visit_month
1004 1
1004 3
1004 7
1004 8
2112 3
2112 6
2112 7
3912 4
user_id visit_month
1004 1
1004 3
1004 7
1004 8
user_id visit_month
2112 3
2112 6
2112 7
user_id visit_month
3912 4

52.
user_id visit_month
1004 1
1004 3
1004 7
1004 8
2112 3
2112 6
2112 7
3912 4
user_id visit_month
1004 1
1004 3
1004 7
1004 8
user_id visit_month
2112 3
2112 6
2112 7
user_id visit_month next_visit_month
1004 1 3
1004 3 7
1004 7 8
1004 8 null
2112 3 6
2112 6 7
2112 7 null
3912 4 null
user_id visit_month
3912 4

53.
user_id visit_month next_visit_month next_two_
visit_month
1004 1 3 7
1004 3 7 8
1004 7 8 null
1004 8 null null
2112 3 6 7
2112 6 7 null
2112 7 null null
3912 4 null null

54.
user_id visit_month
1004 1
1004 3
1004 7
1004 8
2112 3
2112 6
2112 7
3912 4

55.
user_id visit_month
1004 1
1004 3
1004 7
1004 8
2112 3
2112 6
2112 7
3912 4

56.
user_id visit_month
1004 1 null
1004 3 1
1004 7 3
1004 8 7
2112 3 null
2112 6 3
2112 7 6
3912 4 null

57.
https://cloud.google.com/bigquery/docs/reference/standard-sql/analytic-function-concepts

58.
datetime demand
2019-05-15 14:00:00 13 15
2019-05-15 15:00:00 16 16
2019-05-15 16:00:00 20 20
2019-05-15 17:00:00 25 29
2019-05-15 18:00:00 41 32
2019-05-15 19:00:00 31 34
2019-05-15 20:00:00 29 30

59.
https://blog.statsbot.co/sql-window-functions-tutorial-b5075b87d129

60.
https://blog.statsbot.co/sql-window-functions-tutorial-b5075b87d129

61.
https://cloud.google.com/bigquery/docs/reference/standard-sql/json_functions

62.
https://cloud.google.com/bigquery/docs/reference/standard-sql/json_functions

63.
https://cloud.google.com/bigquery/docs/reference/standard-sql/user-defined-functions

64.
https://cloud.google.com/bigquery/docs/reference/standard-sql/user-defined-functions#sql-udf-structure

65.
https://cloud.google.com/bigquery/docs/reference/standard-sql/user-defined-functions#supported-external-udf-languages

66.
https://cloud.google.com/bigquery/docs/reference/standard-sql/user-defined-functions#including-external-libraries

67.
https://cloud.google.com/bigquery/docs/partitioned-tables

68.
https://cloud.google.com/bigquery/docs/querying-wildcard-tables

69.
https://cloud.google.com/bigquery/docs/creating-column-partitions

70.
https://cloud.google.com/bigquery/docs/querying-partitioned-tables

71.
https://cloud.google.com/bigquery/docs/querying-partitioned-tables

72.

73.
https://cloud.google.com/bigquery/docs/scheduling-queries

74.
https://cloud.google.com/bigquery/docs/scheduling-queries

75.
https://cloud.google.com/bigquery/docs/scheduling-queries

76.
https://cloud.google.com/bigquery/docs/scheduling-queries

77.
https://cloud.google.com/bigquery/docs/scheduling-queries

78.
https://cloud.google.com/bigquery/docs/scheduling-queries

79.
https://cloud.google.com/bigquery/docs/scheduling-queries

80.
https://cloud.google.com/bigquery/docs/scheduling-queries

81.
https://cloud.google.com/bigquery/docs/scheduling-queries

82.
[ GS URL ]
[ Table ]
[ ( ]
[ , ]
[ ]

83.

84.

85.
https://support.google.com/firebase/answer/7029846

86.
https://support.google.com/firebase/answer/7029846

87.
https://support.google.com/firebase/answer/6317485

88.
https://support.google.com/firebase/answer/6317485

89.
https://medium.com/firebase-developers/using-the-unnest-function-in-bigquery-to-analyze-event-parameters-in-
analytics-fb828f890b42

90.
https://medium.com/firebase-developers/using-the-unnest-function-in-bigquery-to-analyze-event-parameters-in-
analytics-fb828f890b42

91.

92.
https://www.slideshare.net/lynnlangit/google-cloud-and-data-pipeline-patterns

93.
https://medium.com/teads-engineering/give-meaning-to-100-billion-analytics-events-a-day-d6ba09aa8f44

94.
https://wecode.wepay.com/posts/bigquery-wepay

95.

96.

97.
https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#sql-syntax