## Data Flow Architecture
In this tutorial we'll guide you through the process to set up the architecture below. In order to store data from akenza in an Amazon S3 bucket and use QuickSight for data analysis and report generation.
Target Architecture
### Akenza Output connector
Set up a AWS Kinesis output connector as described here: [how-to-send-data-to-aws-kinesis](https://docs.akenza.io/akenza.io/tutorials/create-enterprise-solutions/how-to-send-data-to-aws-kinesis "mention")
### AWS Kinesis Data Stream
Use the Data Stream created in the above mentioned tutorial.
### AWS Data Firehose
#### Prerequisites
If you haven't already created an Amazon S3 data base with a bucket dedicated for this data flow, create one now. Following this chapter: [#general-purpose-bucket](#general-purpose-bucket "mention")
#### Creating a Firehose Stream
Create a new firehose stream. When prompted, select *Amazon Kinesis Data stream* as *Source* and *Amazon S3* as *Destination.* Continue to add a name for your stream.
Creating a firehose stream
As a next step browse for the previously created Kinesis data stream in *Source settings*. As well as the prepared S3 bucket in the *Destination settings*. You may also enable the *New line delimiter* option.
Now continue to create firehose stream.
### Amazon S3
#### Create General purpose bucket
In your amazon S3 account create a new *General purpose* bucket. Add a name for your bucket. And consider to enable ACLs to later grant access rights for your QuickSight user to access data in this bucket.
### AWS QuickSight
Start by creating an AWS QuickSight account. Ensure to deselect any optional subscription checkboxes. Grant access for QuickSight to the following services:
* IAM
* Amazon S3
* select the relevant bucket
{% hint style="info" %}
You may need to add additional permission policies to your aws-quicksight-service-role user to allow access to the S3 bucker. Ensure the following policies have been assigned in IAM:
* [AWSQuickSightIAMPolicy](https://us-east-1.console.aws.amazon.com/iam/home?region=eu-north-1#/policies/details/arn%3Aaws%3Aiam%3A%3A075219014739%3Apolicy%2Fservice-role%2FAWSQuickSightIAMPolicy)
* [AWSQuickSightS3Policy](https://us-east-1.console.aws.amazon.com/iam/home?region=eu-north-1#/policies/details/arn%3Aaws%3Aiam%3A%3A075219014739%3Apolicy%2Fservice-role%2FAWSQuickSightS3Policy)
{% endhint %}
#### Create Datasets
In Datasets create a *New Dataset*. Select S3 as data source and give it a name. Continue to upload a manifest file. You may use our sample file. Make sure to update the *URIprefixes* to match the files in your S3 bucket.
Create QuickSight data source
```
// Sample manifest file
{
"fileLocations": [
{
"URIPrefixes": [
"s3://akenza-quicksight-testing/2025/"
]
}w
],
"globalUploadSettings": {
"format": "JSON"
}
}
```
#### Create Analysis
In *Analyses* create a *New Analysis* selecting the dataset you just created. Continue with *use in analysis* and create a new sheet. You may then continue to create your analysis and publish the dashboard when completed.
.png?alt=media&token=48a269fa-27bb-4598-a404-94c7073cb568)
