GEC NEWS WIREAt Snowflake Summit 2024, Snowflake unveiled platform upgrades to enhance flexibility and interoperability for organizations handling enterprise data. These improvements streamline data discovery and collaboration, while boosting performance and efficiency in the AI Data Cloud.
“Snowflake is making customers’ data, models, and applications even more powerful by embracing open data and interoperability across the ecosystem, ensuring that all users benefit from Snowflake’s leading governance and discovery in the AI Data Cloud,” said, Prasanna Krishnan, Head of Collaboration and Snowflake Horizon, Snowflake. “
Bring Increased Interoperability with Open Data to the AI Data Cloud
The popular open table format Apache Iceberg has revolutionized how organizations access and drive value from their data. Snowflake is now making it even easier for customers to bring the platform’s ease of use, performance, governance, and collaboration to their Iceberg data stored externally with Iceberg Tables (now generally available), unlocking full storage interoperability.
Customers including Booking.com, Capital One, Indeed, Komodo Health, and more are already leveraging Iceberg Tables to implement open, flexible architectural patterns — including data lakehouses, data lakes, and data meshes — to further simplify the development of pipelines, models, and more. With Iceberg Tables, organizations can work with their data on their terms, gaining increased flexibility and support over their open data to drive value.
“Apache Iceberg’s large and diverse ecosystem of contributors and products made it a clear choice for us to provide an open and common data layer across our internal and external ecosystem,” said, Thomas Davey, Chief Data Officer, Booking.com. “With Iceberg, we can broaden our use cases for Snowflake as our open data lakehouse for machine learning, AI, business intelligence, and geospatial analysis, even for data stored externally.”
Create A Well-Governed Data Foundation to Accelerate AI and Apps
The rise of AI has made every organizations’ enterprise data even more valuable. As such, organizations are left grappling with the rapid increase of data, large language models (LLMs), applications, and more spread out across various business units and teams. Snowflake is advancing Snowflake Horizon, Snowflake’s built-in governance and discovery solution that provides a unified set of compliance, security, privacy, interoperability, and access capabilities, to enable enterprises to protect their data products so that customers can take action on them — both for content internal to an organization, as well as sourced from third parties.
As a part of Snowflake Horizon’s new capabilities, the Internal Marketplace (private preview) allows users to curate and publish data products such as data, models, and applications specifically for teams within their organization to discover and use — while preventing unintended sharing to external parties. In addition, teams can securely limit who within an organization can see or access their content. Snowflake is further extending its industry-leading collaboration capabilities to include the sharing of AI models (private preview soon), Iceberg Tables, and Dynamic Tables.
