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Fast-track Your ELT and ETL Use Cases with Free Cloud Data Integration on AWS By Deepak Ram

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Speed up your data-led migrations and modernization on AWS with Informatica Informatica recently announced the availability of its Cloud Data Integration Free Service for AWS to kickstart data-led migrations on AWS with Informatica Intelligent Data Management Cloud (IDMC). This free service is high scale and high performant and ideally suited for enterprise AWS modernization use… more
The post Fast-track Your ELT and ETL Use Cases with Free Cloud Data Integration on AWS appeared first on The Informatica Blog – Perspectives for the Data Ready Enterprise.

Speed up your data-led migrations and modernization on AWS with Informatica

Informatica recently announced the availability of its Cloud Data Integration Free Service for AWS to kickstart data-led migrations on AWS with Informatica Intelligent Data Management Cloud (IDMC). This free service is high scale and high performant and ideally suited for enterprise AWS modernization use cases. The Informatica Cloud Data Integration Free Service on AWS provides comprehensive, high-performance and cost-efficient cloud-native processing that packages cloud data integration services, cloud mass ingestion services, and a rich set of out-of-the box connectivity to various enterprise sources.

The Informatica Cloud Data Integration Free Service is optimized for AWS specifically for modern cloud data warehouse patterns (Redshift, Snowflake on AWS, S3, RDS)

ELT: Hydrate data lakes on S3 by bulk loading or mass ingesting raw dataETL: Simplify and enable data curation in S3/data lakesLoad the curated results (after cleansing, scrubbing, and shaping the data) to a data warehouse on AWS for analytics use cases

The Informatica Cloud Data Integration Free Service is built on three principles:

Ease of usePerformanceFitness for real-world enterprise use cases

Ease of Use – Registration is simple and easy. Once you sign up and are logged in, the “Guide Me” button will assist you through the configuration (connecting to your data sources, trying the service with sample data, etc.) and there is a rich set of tutorials with interactive walkthroughs to assist you through your journey.

Performance – Generally free service has a negative connotation that performance will be under-powered or throttled. But quite the contrary in the case of Informatica Cloud Data Integration Free Service for AWS. It doesn’t matter whether it’s 5 tables or 100 tables or 1000+ tables. The free service works at scale, leveraging the Cloud Mass Ingestion and Cloud Data Integration services that make the heavy lifting of repeatably loading jobs, fast and easy.

Enterprise Use Cases – The Informatica Cloud Data Integration Free Service is ideally suited for modern AWS data warehouses (for example, Redshift, S3, and Snowflake on AWS) patterns and enterprise or real-world use cases. One common use case is the regular extraction of data from on-premises databases, loading and curation of the lake in S3, and using cloud data warehouses on AWS as the serving layer for analytics. With the Informatica Cloud Data Integration Free Service you can bulk load raw data into the data lake on Amazon S3 (an ELT pattern) or integrate and curate the data (ETL pattern) and finally load the data into the data warehouse on AWS for analytics. Everything is AI- and ML-driven with a wizard-based, no-code approach. You create a job once with the wizard, and you use the job multiple times, gaining efficiency and effectiveness for enterprise use cases.

Informatica is a launch partner of Amazon Redshift Console Integration and the combination of Informatica’s Amazon Redshift Console Integration and the Informatica Cloud Data Integration Free Service seamlessly allows users to kickstart and speed up their data led migrations on AWS.

Try it out for yourselves. Get started at www.informatica.com/awsfree.

The post Fast-track Your ELT and ETL Use Cases with Free Cloud Data Integration on AWS appeared first on The Informatica Blog – Perspectives for the Data Ready Enterprise.