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Snowflake, the AI data cloud company, announced innovations that simplify management of the entire data lifecycle, from ingestion to access to governance, redefining the enterprise lakehouse for the AI era. The newly enhanced Snowflake Horizon Catalog and Snowflake Openflow (generally available) enable enterprises to connect data from disparate sources and catalogs, enabling AI agents to leverage all of this data in a single place. These capabilities are delivered with consistent security and governance built in, enabling enterprises to extract maximum value from their data. Additionally, interactive tables and warehouses (generally available soon) enable organizations to instantly visualize data and gain near-real-time insights. Additionally, Snowflake Postgres (coming soon to public preview) enables enterprises to leverage real-time transactional data more quickly and efficiently than ever before. Snowflake is redefining how enterprises build and use AI agents and AI apps.
“The Enterprise Lakehouse represents an evolution in data management and utilization in the age of AI,” said Christian Kleinerman, Senior Vice President of Products at Snowflake. “With enhancements to the Horizon Catalog, enterprises can now leverage a consistent layer of security and governance across data wherever it resides, with context and governance for AI by default, helping them avoid vendor lock-in. Additionally, when combined with Openflow and Snowflake Postgres, organizations can securely connect and utilize their data, enabling them to use all their datasets to power intelligence.”
“In the marketing industry, it’s all about data, and protecting that data and customer personal information is a top priority at Merkle ,” said Peter Rogers, Executive Vice President and Americas Data & Technology Lead at Merkle. “Snowflake’s Horizon Catalog was designed from the ground up with security and governance at its core, allowing us to protect customer trust while handling customer data, including sensitive personal information, responsibly.”
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Extending interoperability across the enterprise lake house
Many organizations face challenges in AI adoption due to fragmented governance and siloed data systems. In fact, 80% of IT leaders in a recent survey cited data silos as the biggest barrier to building an AI strategy. Horizon Catalog addresses these challenges by providing the context needed for AI and a unified security and governance framework that securely connects data across all regions, cloud environments, and formats, enabling interoperability and avoiding vendor lock-in. It is designed to work seamlessly with any engine, any data format, anywhere, including native objects in Snowflake, open table formats like Apache Iceberg™ and Delta Lake, and data stored in relational databases like SQL Server and Postgres.
By directly integrating the open APIs of Apache Polaris™ (incubating) and Apache Iceberg™ REST Catalog ™ with the Horizon Catalog, customers can create a de facto enterprise lakehouse with centralized governance, security, and interoperable access management for all data in open table formats. These enhancements enable external engines to securely access data in Apache Iceberg™ tables (coming soon to public preview), create and update Iceberg tables (coming soon to public preview), and manage stored data. This increases flexibility, allowing departments to securely use a single copy of their data in their preferred engines, and makes it easier to share, connect, and leverage data from a unified AI catalog. Snowflake’s latest integrations give customers and partners, such as Merkle and RelationalAI, the freedom to use the engines and tools that best suit their unique business needs, with peace of mind and under centralized governance. Snowflake also enhances data resilience for Iceberg-managed tables with Business Continuity and Disaster Recovery (now generally available), further protecting enterprise-critical data across the enterprise lakehouse.
Enterprise users can leverage Openflow to securely automate the integration and ingestion of data from virtually any source, easily centralizing data across their enterprise lakehouse. Hundreds of customers, including Brightfire , EVgo , and Intelitics , use Openflow to integrate data of various types and formats to rapidly drive AI-powered innovation. Snowflake is also expanding its integration options through a partnership with Oracle, now in private preview, enabling customers to leverage near real-time change data capture powered by Openflow to continuously stream transactional updates into the Snowflake AI Data Cloud.
SOURCE: PRTimes
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