Informatica, the enterprise cloud data management leader, today announced a new Governed Data Lake Management Solution for Amazon Web Services (AWS) allowing joint customers to govern, secure and scale a data lake on Amazon S3.
Launched today at AWS re:Invent, the new capabilities include intelligent data cataloging, data policy management and enforcement, data protection and privacy controls, and cloud-native data integration to enable customers to scale their cloud-based analytics and digital transformation with trusted data. Today’s announcement also includes new Informatica product capabilities for AWS customers to help them manage their data assets in AWS Services such as Amazon Redshift and Amazon Athena at scale with better performance and at lower cost.
Now more than ever, companies are moving their analytics workloads to the cloud and modernizing their applications, with the goal of increasing efficiency, productivity and cost savings. According to IDC, almost 55 percent of an estimated $134.8 billion spent worldwide on infrastructure hardware this year is designated for cloud environments, up from 49.5 percent of the $134.5 billion in spending in 2019.
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Informatica and AWS are working together to empower organizations to evolve their business by easily scaling their cloud infrastructure. With Informatica’s metadata-driven, intelligent cloud data management capabilities, organizations can realize the promise of cloud data warehouses, data lakes and data lakehouses on AWS by automating the delivery of trusted, accurate data that drives faster innovation.
The new Governed Data Lake Management Solution enables customers to:
- Discover and organize data assets across the enterprise, automatically curate and augment the metadata with business context and infer relationships and lineage with Intelligent Data Cataloging.
- Quickly and efficiently build data pipelines without hand-coding and rapidly migrate on-premises data workloads to Amazon S3 data lakes through Cloud-Native Data Integration.
- Define and automatically enforce data management and data privacy policies to ensure delivery of trusted data across the enterprise and in compliance with regulations such as CCPA and GDPR.
- Automatically identify and fix data quality issues, ensuring that data lake consumers have access to clean, trusted data.
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