Introduction to Data Analytics on Amazon AWS Cloud - RedShift - Glue - QuickSight
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5:08:13
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01-marketing video aws redshift (edit) (1).mp4
03:23
02-001 what is cloud.mp4
03:35
03-002 what is cloud computing.mp4
06:58
04-003 cloud computing services.mp4
12:23
05-004 why cloud computing.mp4
03:53
06-005 how data warehouse works.mp4
06:19
07-006 types of data warehouse.mp4
03:33
08-007 data warehouse architecture.mp4
07:41
09-008 data warehouse components.mp4
09:53
10-009 why use data warehouse.mp4
05:41
11-010 amazon web services.mp4
05:08
12-011 what is aws redshift.mp4
02:44
13-012 why aws redshift.mp4
05:13
14-lab 001 creating aws account.mp4
04:43
15-lab 002 web console overview.mp4
03:05
16-lab 003 iam role.mp4
04:30
17-lab 004 creating a cluster.mp4
06:38
18-lab 005 creating iam user for redshift.mp4
03:55
19-lab 006 getting started with aws redshift queryeditor.mp4
05:35
20-lab 007 installing sql workbench client tool.mp4
04:13
21-lab 008 connecting aws redshift with sql client (jdbc).mp4
07:41
22-lab 009 aws redshift query using sql workbench.mp4
04:27
23-lab 010 creating and loading dataset to s3 bucket.mp4
05:52
24-lab 011 setting up aws cli.mp4
04:29
25-lab 012 load dataset to s3 from cli.mp4
04:52
26-lab 013 copy table from s3 to redshift method 1.mp4
05:14
27-lab 014 copy table from s3 to redshift method 2.mp4
04:39
28-theory 016 a aws glue.mp4
05:43
29-theory 016 b what is etl.mp4
07:34
30-theory 016 c etl process in data warehouse.mp4
03:24
31-theory 016 d etl tools.mp4
02:15
32-lab 015 fetch table from s3 using aws glue.mp4
06:02
33-lab 016 create iam role and fetch data from s3.mp4
09:03
34-lab 017 security group and vpc settings for aws redshift with aws glue.mp4
07:06
35-lab 018 connecting aws redshift with glue.mp4
03:30
36-lab 019 crawl redshift table metadata to glue.mp4
03:52
37-lab 020 create glue job to copy data from s3 to redshift table.mp4
04:11
38-lab 021 etl scripting in glue job to transform data.mp4
11:09
39-lab 022 loading multiple datasets to redshift using jdbc.mp4
09:33
40-theory 017 what is sql.mp4
02:13
41-theory 018 basic sql commands.mp4
01:43
42-lab 023 1 select all statement.mp4
03:00
43-lab 023 2a select specific column.mp4
01:31
44-lab 023 2b select single column.mp4
01:28
45-lab 023 3 distinct statement.mp4
01:26
46-lab 023 4 count and count(distinct).mp4
02:57
47-lab 023 5 where statement.mp4
03:44
48-lab 023 6 and statement.mp4
02:30
49-lab 023 7 or statement.mp4
02:16
50-lab 023 8 not statement.mp4
01:25
51-lab 023 9 update statement.mp4
03:26
52-lab 023 10 delete statement.mp4
01:35
53-lab 023 11 insert into statement.mp4
02:39
54-lab 024 why join datasets (overview).mp4
02:49
55-lab 025 sql joins.mp4
03:09
56-lab 026 count distinct and sum function.mp4
04:26
57-lab 027 avg function.mp4
02:43
58-lab 028 extreme value calculation and sorting.mp4
04:30
59-lab 029 slicing and limiting data.mp4
03:51
60-lab 030 grouping and filtering in groups.mp4
04:39
61-theory 019 what is quicksight.mp4
05:35
62-lab 031 creating quicksight account.mp4
02:00
63-lab 032 importing dataset in quicksight.mp4
03:38
64-lab 033 basic aggregation function in quicksight.mp4
03:29
65-lab 034 donut and pie chart in quicksight.mp4
03:44
66-lab 035 bar charts in quicksight.mp4
03:28
67-lab 036 line charts.mp4
03:39
68-lab 037 creating a dashboard in quicksight.mp4
05:01
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- language english
- Training sessions 68
- duration 5:08:13
- Release Date 2024/03/07
