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This Course Includes
udemy
0 (0 reviews )
4.5 total hours 
english
Online - Self Paced
course
Udemy
About Data & Analytics on AWS
What is AWS S3 & How to do Time series data Modelling in S3, how to upload sample data files in S3
What are AWS S3 key components & key Features (i.e 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)
What are different storage classes in AWS S3
What is AWS Glue, it's design & key features(Spark streaming job, Glue Crawler, Data catalog & Developing AWS Glue ETL jobs , glue workflow & Triggers , aws Glue Schema Registry)
How to develop Glue ETL job in Glue studio using interactive sessions
What is AWS Athena & How to use it to run adhoc query on data in AWS S3
What is AWS Quick Sight & How to use it to create BI Dashboard
LABS on AWS S3 bucket creation, AWS Glue, AWS Athena, AWS Quick sight
Enterprise level project: which shows how to load data into S3 bucket & then crawl that data using glue crawler to create database & table in Glue catalog. use AWS glue ETL job to read & write data from S3 via data Catalog. Quick sight will be used to buid analytics dashboard from raw data & transformed data.
What You Will Learn?
- What is AWS S3 & data upload, Time series data Modeling in S3.
- What is AWS Glue & Developing AWS Glue ETL jobs.
- What is AWS Athena & how to use it to run adhoc query on data in AWS S3.
- What is AWS Quick Sight & how to use it to create Dashboard.