Informatica Strengthens AWS Support, Announces New Features at AWS re:invent

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California-based Informatica, a company known for providing end-to-end cloud data management solutions, today announced new offerings for Amazon Web Services (AWS) products and services.

At the ongoing AWS re:Invent conference, the company focused on empowering enterprise users—from departmental users and developers to data scientists and engineers—with capabilities to quickly find, populate, manage and analyze data in the cloud and move from ingestion to insight into a question in minutes.

Here’s a quick overview of everything it announced.

Data loader for Amazon Redshift

First, Informatica said the data loader, which is designed to provide an easy, free way to load data into cloud data warehouses, will now be directly built into the Amazon Redshift console.

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Informatica Data Loader on Amazon Redshift

Redshift is a fully managed, petabyte-scale cloud data warehouse, and with this move, it will offer businesses the ability to launch the data loader with a few clicks, quickly capture data from AWS, on-premises, legacy systems, third-party applications and other sources and bring it into the data warehouse. It also offers a guided interface to help companies load and combine data in the data warehouse for easy access to holistic insights from data.

Support for AWS data exchange

Next, the company announced support for AWS data exchange. As part of this, Informatica said its data marketplace will package not only enterprises’ first-party data sets, but also third-party data sets from the AWS data exchange, giving them a broader set of data products to work with for faster self-service analytics and other applications. The AWS Data Exchange is already home to more than 3,500 data products and more than 300 data providers.

INFACore supports Amazon SageMaker Studio

First announced earlier this year, Informatica INFACore is a plugin that simplifies the development and maintenance of complex data pipelines by turning thousands of lines of code into a single function that can be deployed in applications using a built-in user interface. Now this user interface is supported on Amazon’s Sagemaker Studio, a fully integrated development environment (IDE) for machine learning.

According to Informatica, companies can use INFACore to access and prepare data from any source directly on Amazon SageMaker Studio. Once it’s ready, data scientists, data engineers and developers don’t need to switch platforms. They can continue to use SageMaker to build, train, tune, debug and deploy their ML models, reducing time to value from weeks to a few hours.

“We’re excited to expand our cloud efforts with AWS to simplify how departmental users process, manage and, more importantly, make smarter decisions with trusted data,” said Jitesh Ghai, product manager at Informatica. “The strategic investments we’re making in integrating the Informatica cloud platform on AWS will continue to drive the success we’ve had with joint customers in helping them achieve positive business outcomes with their data.”

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