AWS Analytics Services Explained in 10 Minutes with Real-Life Use Cases
In this video, I'll walk you through the core AWS Analytics Services—including Amazon Athena, Amazon Redshift, Amazon OpenSearch, and more—while studying for my AWS Solution Architect Associate exam. This session will not only provide a clear understanding of these services but also highlight real-life use cases and scenarios directly from AWS whitepapers. From querying data lakes with Athena to analyzing sensor data with Kinesis, and even sentiment analysis of social media data, we’ll explore how these services are used in real-world applications. Whether you're preparing for an AWS certification or simply want to learn more about AWS analytics, these examples and best practices will help you master these tools. Don’t forget to check out the official AWS whitepapers for even more insights!
00:28 - Amazon Athena
01:07 - Amazon RedShift
01:47 - Amazon OpenSearch
02:21 - Amazon EMR
03:02 - Amazon QuickSight
03:43 - Amazon Glue
04:20 - Amazon LakeFormation
05:01 - Amazon Kinesis Data Analytics
05:51 - Example1: Queries against an Amazon S3 data lake
07:02 - Example2: Capturing and Analyzing Sensor Data
08:43 - Example3: Sentiment analysis of social media
Resources: https://docs.aws.amazon.com/pdfs/whit...
AWS Analytics Services, Amazon Athena, Amazon Redshift, OpenSearch, AWS Solution Architect Associate Exam, Real-Life AWS Use Cases, AWS Whitepapers, Kinesis, Glue, Lake Formation
