Learn Data Analytics, Manage AWS Cloud infrastructure, Data Lakes, Handle huge data sets, bigdata and data analysis.
All the lectures come with practical demos for easy understanding.
Exploring AWS Analytics offerings and knowledge to handle data sicentist jobs
AWS emerging as leading player in the cloud computing, data analytics, data science and Machine learning.
AWS Analytics course lectures with practical demos
Lecture Duration (hh:mm:ss)
Amazon Athena – Interactive query service 00:07:10
Amazon CloudSearch – Managed search service 00:16:20
Amazon EMR 00:11:05
Amazon Elasticsearch Service 00:11:36
Amazon Kinesis – Data Streams – Visualizing Web Traffic Using Amazon Kinesis Data Streams 00:23:56
Amazon Kinesis – Data Streams using AWS CLI 00:08:40
Amazon Redshift – Data warehousing 00:23:46
Amazon QuickSight – Business Analytics Intelligence Service 00:14:51
Amazon Data Pipeline – Automate data movement 00:18:36
and Amazon Glue, Data Lakes
AWS Data Analytics
1
1 - AWS Analytics and Data Lakes
2
2 - Amazon Athena - Interactive query service
3
3 - Amazon CloudSearch - Managed search service
4
4 - Amazon Elasticsearch Service
5
5 - Amazon Kinesis - Data Stream - Visualizing Web Traffic Using Amazon Kinesis
6
6 - Amazon Kinesis - Data Streams using AWS CLI
7
7 - Amazon Redshift - Data warehousing
8
8 - Amazon QuickSight - Business Analytics Intelligence Service
9
9 - Amazon Data Pipeline - Automate data movement
10
10 - AWS Glue – Managed ETL Service
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!