Data & Analytics on AWS

1. AWS S3 and Time Series Data Modelling

Overview:
What is AWS S3 & How to do Time series data Modelling in S3, how to upload sample data files in S3

2. AWS S3 Key Components and Features

Overview:
What are AWS S3 key components & key Features
Topics Covered:

• S3 Object Lifecycle
• Object lock
• S3 replication
• Presigned URL
• S3 event notification
• strong consistency
• S3 Select
• S3 Batch operations
• Hosting a static website in AWS S3

3. AWS S3 Storage Classes

Overview:
What are the different storage classes in AWS S3

4. AWS Glue Design and Features

Overview:
What is AWS Glue, its design & key features
Topics Covered:

• Spark streaming job
• Glue Crawler
• Data catalog
• Developing AWS Glue ETL jobs
• glue workflow & Triggers
• AWS Glue Schema Registry 

5. AWS Glue ETL Development

Overview:
How to develop a Glue ETL job in Glue Studio using interactive sessions

6. AWS Athena

Overview:
What is AWS Athena & how to use it to run ad hoc queries on data in AWS S3

7. AWS QuickSight

Overview:
What is AWS Quick Sight & How to use it to create a BI Dashboard

8. Hands-on Labs

Overview:
LABS on AWS S3 bucket creation, AWS Glue, AWS Athena, AWS QuickSight

9. Enterprise Level Project

Overview:
Enterprise-level project: which shows how to load data into an S3 bucket & then crawl that data using Glue crawler to create a database & table in Glue catalog. Use an AWS Glue ETL job to read & write data from S3 via the Data Catalog. QuickSight will be used to build an analytics dashboard from raw data & transformed data.