The impact of Apache Polaris graduating to top-level Apache project
With top-level Apache status, Polaris brings enterprise-grade governance and durability to the Iceberg catalog layer powering modern data platforms.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Understanding the modern data stack
Explore what a modern data stack is, the modern data stack architecture, and examples of modern data stack tools that support scalable data integration.
A blueprint for the modern, AI-ready lakehouse
Determine the exact data lakehouse capabilities you’ll need for your use case, and which vendors offer them.
Entering the agentic age: Don't wait to get started
Delivering value now with data integration, the right data platform, and generative and agentic AI.
Get started with Iceberg without the brain freeze
How to build an interoperable storage layer on a data lake without ever learning iceberg.
How Pleo achieved Customer 360
Pleo operationalized Customer 360 data in HubSpot without sacrificing governance or accuracy.
Audience Hub: Marketer-friendly features for audience activation
Empower every marketer to build, analyze, and activate precise audiences with a no-code, warehouse-native segmentation suite.
Building AI-ready data pipelines with Snowflake and Fivetran
Enable teams to move from source systems to AI-driven insights without custom ingestion code or infrastructure management.
Introducing Activations: Bridging the gap between data and action
Move beyond analytics and activate trusted warehouse data across your business.
What's a data lakehouse? Architecture and examples
Learn what a data lakehouse is, its core architecture, and how it compares to data lakes and data warehouses to solve modern data challenges.