Cloudera 通过统一平台加速 AI 与分析项目进程，实现安全、可控且高效的数据管理

Core Insights - Cloudera has announced updates to its platform, focusing on the Cloudera Iceberg REST Catalog and Cloudera Lakehouse Optimizer, enhancing its commitment to providing the best open data lakehouse based on Iceberg technology [1][2] Cloudera Iceberg REST Catalog - Cloudera is the first and only vendor to integrate Iceberg REST Catalog into a full lifecycle data and AI platform, enabling secure, zero-copy data sharing and unified governance across any cloud environment or data center [2][3] - The new service allows third-party engines to access Cloudera-managed data without the need for data copying or movement, ensuring consistent policy enforcement and metadata intelligence [2][3] - Customers using Iceberg can connect seamlessly with leading analytics and AI engines such as Snowflake, Databricks, AWS Athena, AWS EMR, and Salesforce, while achieving ACID compliance and unified access policies [3] Cloudera Lakehouse Optimizer - The Cloudera Lakehouse Optimizer is a new intelligent service that automates optimization and list maintenance for Apache Iceberg within Cloudera's lakehouse [4] - This service eliminates the need for manual data management tasks, allowing customers to focus on deriving insights from data, and is applicable to any public cloud with Iceberg-compatible engines [4] - Internal benchmarks indicate that the service can enhance query performance by up to 13 times and reduce storage costs by 36% [4] Company Commitment - Cloudera's Chief Product Officer emphasized the company's role as a pioneer in the big data industry, continuously investing in Apache Iceberg to enhance its enterprise application capabilities [5] - The updates reflect Cloudera's commitment to providing flexible, scalable insights at critical times and locations, earning the trust of top global enterprises [5] Availability - The Cloudera Data Sharing powered by Iceberg REST Catalog and Cloudera Lakehouse Optimizer are now fully launched [6]