Aws setup and basic data filtering
Budget: ₹750 – ₹1,250 INR
1. Create a free account in AWS account, create S3 service (Cloud Object Storage – Amazon S3
– Amazon Web Services )and store the data in a bucket (name the bucket as
yourname_demo).
2. Create AWS Postgres RDS database service (Amazon RDS | Cloud Relational Database |
Amazon Web Services), name it yourname_demo_rds and load the data from the S3 bucket
Activity -2
1. Download pgadmin4 ( Download (pgadmin.org)) to your local machine
2. Connect the postgres db you have created - yourname_demo_rds
3. Run the sql query to retrieve following information from the db:
a. How many unique ProductID are available
b. How many unique ProductType are available
c. Filter the db for OutletSize = Small and create a child table and name it outlet_small
d. Filter the db for OutletSize = Medium and create a child table name it
outlet_medium
e. Filter the db for OutletSize = High and create a child table name it outlet_high
– Amazon Web Services )and store the data in a bucket (name the bucket as
yourname_demo).
2. Create AWS Postgres RDS database service (Amazon RDS | Cloud Relational Database |
Amazon Web Services), name it yourname_demo_rds and load the data from the S3 bucket
Activity -2
1. Download pgadmin4 ( Download (pgadmin.org)) to your local machine
2. Connect the postgres db you have created - yourname_demo_rds
3. Run the sql query to retrieve following information from the db:
a. How many unique ProductID are available
b. How many unique ProductType are available
c. Filter the db for OutletSize = Small and create a child table and name it outlet_small
d. Filter the db for OutletSize = Medium and create a child table name it
outlet_medium
e. Filter the db for OutletSize = High and create a child table name it outlet_high