Informatica Introduces New Features to Its AI-Powered Data Catalog
Thu, April 22, 2021

Informatica Introduces New Features to Its AI-Powered Data Catalog

Informatica's AI-powered data catalog can help companies with data management / Credits: Alexander Supertramp via Shutterstock


With the increasing advances in artificial intelligence, companies are putting more effort into data management. This helps not only in managing huge amounts of data but also protecting them. The continuous amplification of data across organizations has been risking how companies manage their data. Thus, there has been an increased demand for revolutionizing the process of safeguarding data assets. 

Informatica, a software development company based in California, is one of the companies that help organizations manage and protect their data. Last November 2019, Informatica expanded a partnership with Amazon Web Services to support the cloud giant's databases and data lake and data warehouse services. Following the announcement, the company also revealed that they updated its Intelligent Data Platform with tools to track data lineage, catalog information across various ecosystems and automation, and AI for improving customer needs. 

One of Informatica’s new features is Catalog of Catalogs, an AI-powered data catalog. According to ZDNet, a business technology news website that covers breaking news, analysis, and research keeps business technology professionals in touch with the latest IT trends, issues and events, it includes metadata scanners for business intelligence, data warehouses, big data, and third-party repositories. In a statement, Amit Walia, president of products and marketing at Informatica, stated that AI can better scale data productivity and management. 

“AI and machine learning play a critical role in scaling the practices of data management. You cannot solve today's data management challenges by simply throwing more engineers and developers at the problem. Traditional approaches to data management are inefficient. Projects are implemented in silos, with little end-to-end metadata visibility and limited automation. There is no learning, processing is expensive, governance and privacy steps are repeated over and over again. You need AI to automate and simplify tasks related to data management,” Walia said. 

Also, the Catalog of Catalogs can provide data quality rules and scorecards in the catalog for all data assets, help discover data, and also provide the data to the target environment of choice, and more.