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Learn moreNow more than ever, businesses are focused on improving agility, flexibility, and scalability. Modernizing analytics in the cloud is instrumental in achieving these goals, but many cloud analytics initiatives fail due to data integration, data quality, and metadata management issues.
To avoid those pitfalls, you need an intelligent, automated approach to your cloud data warehouse and data lake. A focused cloud lakehouse data management strategy helps you drive first time to value and ROI—whether you’re modernizing, consolidating, or just getting started in the cloud. It also future-proofs your business with a multi-cloud strategy spanning the cloud platforms your business runs on: AWS, Google Cloud, Microsoft Azure, Snowflake, and more.
Informatica offers the only enterprise-class, cloud-native, end-to-end data management solution for lakehouses, data warehouses, and data lakes. Let’s maximize your cloud investment with the power of intelligent data.
See how our customers use modern cloud-based architectures to drive their businesses forward.
—Data Architect, Flagship State University
Jitesh Ghai
Senior VP & GM, Data Management, Informatica
Amit Kara
Director, Technical Marketing, Informatica
Josh Erhardt
Director, Strategic Ecosystems, Informatica
We’ve compiled a collection of resources for every stage of your data warehouse and data lake modernization projects.
Unleash the Full Power of Data
Accelerate self-service, high-value data with an intelligent cloud data lake.
Bringing the Promise of Data to Light
A 3-part strategy to realize more data at petabyte scale on Microsoft Azure.
Cloud Data Warehousing With Amazon Redshift
Bring the advantage of cloud to your business analytics challenges.
Maturity Model: Cloud Data Management for Cloud Data Warehouses and Data Lakes
Get a checklist of implementation must-haves and a maturity model to gauge your cloud data warehouse/data lake capabilities.
Build Cloud Data Warehouses & Data Lakes with AI & Automation
Learn how intelligence and automation support cloud-native data management for cloud data warehouse and data lake architectures.
Avoid Past Mistakes with Modern Cloud Data Management
TDWI experts explore how to deliver faster value from cloud analytics with the right cloud-native data management solution.
Get the Most From Snowflake’s Cloud Data Platform
Infuse analytics solutions with cloud agility and scale by curating trusted, relevant data in a cloud data warehouse.
MLOps: 5 Steps to Operationalize Data Science
Discover MLOps, a new practice for helping data experts and IT build, deploy, and monitor ML algorithms.
Change Data Capture for Real-Time Data Integration & Streaming Analytics
Support streaming analytics and AI/ML use cases by capturing incremental data changes in real time.
Future-proof yourself from rapidly changing cloud environments.