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Reltio Integration Hub

Reltio Application Integrations

Reltio Data Catalog Integrations

Reltio Data Enrichment Integrations

Reltio Data Pipelines

Reltio Data Pipeline for Databricks

Configure the Reltio Data Pipeline for Databricks for AWS

Configure Databricks pipeline for AWS using APIs

Configure AWS cloud storage for Databricks

Create an AWS S3 storage bucket

Reltio iPaaS Connectors

Real-time and Batch Integration APIs

Load and export data

Stream data

Create an AWS S3 storage bucket

Learn how to create an S3 storage bucket in your AWS account.

Create S3 storage buckets to enable data processing from Reltio to Databricks through your S3 storage. Create Staging and Target buckets. All changes in Reltio are streamed and written as compressed JSON files into the Staging bucket. Databricks then reads this data from the staged location and saves it as Delta Live Tables — like entities, relations, interactions, matches, and merges — in the Target bucket.

To create an S3 storage bucket:

Log in to the AWS Management Console.
In the Console home page, select S3.
In the Buckets page, select Create Bucket.
In the Create Bucket page, enter the bucket name.
Click Create bucket.

Updated on May 3, 2024

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Accelerate the Value of Data

Create an AWS S3 storage bucket

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