This document provides steps for performing big data analytics using Amazon Redshift, EC2, and S3. It outlines how to 1) plan and launch a Redshift cluster, 2) connect a client and load data from S3, and 3) query the Redshift database from an external client. Key points are that Redshift is a fast, managed data warehouse service, optimized for processing large datasets ranging from GB to PB for low cost compared to other solutions. It also takes on administrative tasks so users can focus on analytics.

1. Big Data Analytics with
AWS RedShift, EC2, S3
Prepared by Pappaiah Paulraj

2. Big Data using Amazon RedShift
Steps
1. Perform Cluster capability planning and finalize
Database Server
2. Launch a Red Shift Cluster
3. Create an inbound security group rule to access a cluster
4. Connect a client to Amazon Red Shift Cluster
5. Load data from an S3 Bucket
6. Amazon Redshift Cluster
7. Query an Amazon Redshift cluster’s database from an external
client
Note: Amazon Red Shift: Fast, fully managed, petabyte-scale Datawarehouse service. Cost-
effective, efficient, analyst data warehouse tools

3. Amazon RedShift
What is Amazon Red Shift technology
It’s a fast, fully managed, petabyte-scale Datawarehouse service. Cost-effective,
efficient, analyst data warehouse tools
Optimized datasets ranging GB to TB to PB or more for cheap cost price compare to
other data warehousing solutions
Capable of delivering faster query results, I/O performance for virtual datasets
parallel processing into multiple nodes
Amazon RedShift takes administrative tasks such as provisioning, configuring,
monitoring, backup, security a data warehousing
Amazon EC2 ( web service) interface to allow, configure capacity with minimal
friction.

4. Amazon Management Console
Steps:
Connect to panel and open the Management Console
Verify the regions and connect with the AWS management Console
Launch an Amazon Red Shift Cluster
( Manage data warehouse consists of set computer nodes. Cluster runs Amazon
RedShift engine contains databases. Node type CPU, RAM, storage capacity and
storage )
Setup Cluster through AWS Management Console, Services and click Red Shift
Launch Cluster to open Red Shift Cluster creation, Node configuration, Parameter
group, Encrypt database
Configure network options including VPC, Subnet, Public IP, Availability zone, VPC
security group
Create an alert in Cloud Watch

5. Configure Security Client Access to Amazon Red Shift
Cluster
Steps:
Create an account to interact with database
Configure an AWS Security Group from that client to your Amazon Red Shift Cluster
Add a Data-source, click Amazon Red Shift to create a data source
Define Security and network section with IP address
Grant client access to Cluster using AWS Console, Services, EC2, Security Groups,
Inbound and add rule and specify RedShift with TCP protocol and source details

6. Connect client software to an Amazon Red Shift
Cluster
Steps:
Utilize Cluster Capacity plan details to connect client software to an Amazon red
Shift Cluster
Open AWS RedShift Console, Services, change Cluster status on configuration details
including Cluster prosperities, Cluster status, Cluster database, Backup, Audit
logging, Capacity details, SSH Ingestion setting
Locate and specify the End Point for Database

7. Load data into Amazon RedShift Cluster
Steps:
Create or modify database table
Execute SQL to query and get the results
Connect and access keys with security credentials
Load data from S3 into database table
Query an Amazon Red Shift database from external client wherever if applicable

8. Thank you