Supercharge Data Migration to AWS with Informatica Intelligent Data Management Cloud
Leverage Informatica Intelligent Data Management Cloud – Cloud Data Integration Free Service and Informatica–Amazon Native Redshift Console Integration to Bring Data from Anywhere to AWS and Drive Better Business Decisions Faster
Informatica today announced a new cloud-native Amazon Redshift Console Integration with a no-charge offering for customers to quickly get started using the Informatica Intelligent Data Management Cloud (IDMC). With the Informatica Cloud Data Integration Free Service on AWS, customers can easily and cost-effectively use Informatica data ingestion and data integration services to load their data onto AWS for cloud data warehouses and lakes — and super charge their cloud analytics.
Informatica is a launch partner of AWS Redshift Console Integration and the native integration with Redshift console provides customers with the “best-in-class” data management solutions for their analytics initiatives.
With this Informatica–Amazon Redshift Console integration, customers can:
- Bring data from anywhere to AWS
- Join myriad data sources
- Ensure the data used and analyzed is quality-based and governed for better business decisions and outcomes.
Informatica’s native Redshift Console Integration enables the migration of data from the most popular on-premises, cloud, application, and SaaS data sources to Amazon Redshift, Amazon S3, Amazon RDS, and Amazon Athena.
Informatica – Amazon Redshift Console Integration Delivers a Number of Firsts
Informatica’s cloud-native Amazon Redshift Integration is a first-of-its kind for customers who want data management, automatically connecting services and seamlessly accelerating time to data value and analytic initiatives.
The Informatica free service is the most comprehensive and provides the highest-capacity free service on the market, including cloud data integration services, cloud mass ingestion services, and out-of-the box connectivity. You can process up to 500M rows of data per month free-of-charge for a wide range of data ingestion and preparation patterns.
With a simple click, Amazon Redshift console users can add Informatica as an integration partner from within the console user interface and then ingest data and manage data within the console.
For example, Amazon Redshift customers can configure hundreds of data sources in a few clicks, define additional ELT/ETL transformations to process business data, join data with other datasets, and build consolidated views for analysis and reporting.
Five Easy Steps to Informatica – Amazon Redshift Console Integration
Here is how you do it.
Step 1: Create Amazon Redshift Cluster
Let’s start by creating an Amazon Redshift Cluster.
Step 2. Add Informatica Partner Integration to Amazon Redshift
Once the cluster is up and running, click on the “Add Partner Integration” button.
You will be given an overview of Informatica’s Intelligent Data Management Cloud.
Once you click Add Partner, you will be directed to sign up for the Informatica Cloud Data Integration Free Service on AWS.
Step 3: Sign Up for Informatica Cloud Data Integration Free Service.
4. Verify Status of Informatica Native Integration with Amazon Redshift
Click on the cluster you created, and you will notice banner that “Integration with AWS Partner Informatica” is initiated.
Step 5: Get Data from Anywhere to Supercharge Your Migration to AWS
Log into Intelligent Data Management Cloud and supercharge cloud data warehouse migration to Amazon Redshift by getting data from the most popular on-premises, cloud, application, and SaaS data sources to Amazon Redshift, Amazon S3, Amazon RDS, and Amazon Athena.
Informatica-Amazon Redshift Console Integration is that easy.
With this seamless Informatica-Amazon Redshift Console integration and free service offering, customers are one step closer to accelerating AI-powered, data-driven, cloud-native digital transformations with Intelligent Data Management Cloud (IDMC) on AWS. Now you can simplify migration and integration of data with universal connectivity and manage data with AI-powered, metadata-driven, cloud-native data quality and governance.