Revolutionizing Real-time Data Processing: How Amazon Kinesis is Transforming Businesses {Kinesis Data Analytics- P2}

Lets go through step-by-step on how to use Amazon Kinesis components…

2. Kinesis Data Analytics:

Step 1: Create an Amazon Kinesis stream

The first step is to create an Amazon Kinesis stream. A Kinesis stream is a data buffer where data is stored before it is processed by Kinesis Data Analytics. Follow the instructions in the previous post (click here)to create a Kinesis stream.

Step 2: Create an IAM Role

Create an IAM Role with permissions to read data from the Kinesis stream created in step 1 (In this demo, create role option is used while application is being created). Also, create an S3 bucket where the output of Kinesis Data Analytics can be stored (Bucket “demo-stream-analytics-bucket” created).

Step 1: Create a New Role
Click on "Roles" in the left navigation pane and then click the "Create role" button.
Step 2: Select a Trusted Entity
Select "AWS service" as the trusted entity and choose "Kinesis Analytics" as the service that will use this role. Click "Next: Permissions" to continue.
Step 3: Add Permissions
On the "Attach permissions policies" page, search for…