Skip to main content

​
Overview

Amazon S3 (Simple Storage Service) is a widely used object storage service provided by Amazon Web Services (AWS). Integrated with Zeotap CDP, it enables you to send the audiences (segments) from Zeotap CDP to Amazon S3, which can then be used as a source for Tableau.
Note:This shows the steps to connect an S3 bucket to Zeotap. This same process can be used for the Tableau AWS S3 destination. After configured and audience data is sent to the bucket, We can connect the bucket to Tableau to pull in the data. You can use other services as well to push the data. Make sure those connectors are available as a data source for your tableau. Use the normal destinations for the same.

​
Prerequisites

Before you create an Amazon S3 Destination in Zeotap CDP, ensure to have an account with Amazon S3.

​
Amazon S3 Overview

Amazon S3 (Simple Storage Service) is a widely used object storage service provided by Amazon Web Services (AWS). Integrated with Zeotap CDP, it enables you to send the audiences (segments) from Zeotap CDP to Amazon S3, which can then be used for delivering more personalised targeting across various touch points.

​
Supported Identifiers

This integration supports MAIDs, Hashed email addresses, Hashed mobile numbers and CRM IDs. Note that you can send any number of identifiers and attributes to Amazon S3 using this integration.

​
Bucket

This is the name of your S3 bucket. You can obtain this information on your Amazon S3 account by navigating to Buckets. In the example shown below, test-adobe-s3-bucket is the bucket name.

​
S3 Bucket Region

This is the geographical location where the Amazon S3 storage is available. You can obtain this information by navigating to the Properties tab under the Amazon S3 bucket as shown in the image below.

​
Folder

In Amazon S3, a folder serves as a logical container for organising stored objects within a bucket. In reality, there are no actual folders in Amazon S3. Instead, the folder concept is emulated by employing object key names containing slashes (”/”) to replicate a hierarchical arrangement. You can obtain this information from your Amazon S3 account by navigating to the Objects tab under the Amazon S3 bucket as shown in the image below.
Ensure that you follow the folder structure shown below. folder_name/sub_folder_name/

​
Access Token and Secret Access Token

These are the security tokens that provide secure access to your Amazon S3 resources. You can obtain the Access Token and Secret Access Token by navigating to the AWS IAM Credentials tab under Security credentials in your Amazon S3 account.

​
Create a Destination for Amazon S3

Perform the following steps to create a Destination for Amazon S3:
1
Log into the Zeotap CDP App and go to the DESTINATIONS application.
2
Click + Create Destination.
3
Under the All Destinations section, search for Amazon S3.
4
Click Amazon S3. A screen appears displaying details about the particular destination towards the left. On the right-hand side of the screen find a list of fields that are required for the integration to be established. Provide the required details as mentioned in the following steps:a. Enter a name for the Destination.b. Enter the Destination Instance Name.c. In the Bucke t field, provide the name of the Amazon S3 Bucket.d. In the S3 Bucket Regio n field, provide the geographical region where your Amazon S3 bucket is available.e. In the Folde r field, provide the folder path in your storage location where Zeotap CDP can store your exported data.f. Under Filename Prefix, enter a text value without special characters, such as underscores (_), spaces, or symbols (#, @, $, %, &, *). Note that the file name follows the format: ${filenamePrefix}part-${sequence}_${destinationAudienceId}_${timestamp}.csv, where the timestamp is in yyyy-MM-dd format and destinationAudienceId is the ID associated with your audience (segment) in Zeotap CDP, which is generated by the Zeotap CDP after the audience (segment) is linked to a Destination.
VariableDescription
filenamePrefixThe prefix for the file name, typically indicating the context or purpose of the file (e.g., the segment or export type).
part-${sequence}A sequential number or identifier indicating the part or chunk number if the data is split across multiple files.
${destinationAudienceId}The unique ID assigned by Zeotap CDP to the audience (segment) after it is linked to a Destination.
${timestamp}The date when the file is generated, formatted as yyyy-MM-dd (e.g., 2024-08-06).
.csvThe file extension, indicating that the file is in CSV (Comma-Separated Values) format.
Example File Name:exportpart-01_894548842_2024-08-06.csvg. Enter Access Token and Secret Access Token that you obtained from your Amazon S3 account.h. Review all the values entered above and then click Next to proceed.
5
In the new screen that appears, choose the appropriate action and mapping as explained below. Under Choose your Action, you can either choose Send Identifiers to Amazon S3 or Send attributes and identifiers to Amazon S3 as the action for activating your audience (segment) in Audiences.a. If you choose Send identifiers to Amazon S3 as your action, then you can send MAIDs, IDP Base, raw mobile numbers, raw email addresses to Amazon S3.
b. If you choose Send attributes and identifiers to Amazon S3 as your action, then you can send any attributes and identifiers to Amazon S3. Use the + Add Mapping Field option to add the attributes and identifiers.
6
Click Create Destination. The created Destination gets listed in the Audiences application, which can be linked to an audience.
For information about how to link an Audience or segment to the created Destination in Audiences application, refer here.

​
Steps to Connect S3 to tableau

​
Overview: Tableau Amazon S3 Connector

The Tableau Amazon S3 connector lets you connect Tableau directly to data files stored in Amazon S3 buckets. Supported file formats include CSV, Excel, and Parquet, including both compressed and uncompressed files. This connection enables Tableau analysts to prep, discover, and visualize insights from cloud data, leveraging Tableau’s Hyper engine for high performance.

​
How the Connector Works

​
Prerequisites

  • Tableau Desktop or Server (2023.2 or later recommended)
  • AWS IAM credentials with read access to the S3 bucket
  • The Amazon S3 connector installed via Tableau Exchange if not present
1
Install the ConnectorIf necessary, download the connector (.taco file) and place it in Tableau’s “Connectors” folder for your operating system. Restart Tableau.
2
Create a Connection
  • Launch Tableau and go to Connect > To a Server > Amazon S3.
  • Enter AWS region, S3 bucket name, your IAM Access Key ID and Secret Access Key.
  • Click Sign In.
3
Browse and Select Files
  • Upon successful authentication, you’ll see the contents of your bucket.
  • Navigate folders and select the relevant file(s). You can drag multiple files into Tableau’s canvas to create unions or joins if desired.
4
Configure Data Source
  • Optionally rename your data source for clarity.
  • Drag files into the canvas as needed.
  • Use Tableau’s data prep tools (join, union, filter) to organize your data quickly.
  • Click into Sheet 1 or further tabs to begin your analysis.
Last modified on February 26, 2026