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Cloudera Introduces a Unified Platform to Accelerate AI and Analytics Projects


Cloudera, bringing AI to data anywhere, is introducing updates to its platforms, specifically Cloudera Iceberg REST Catalog and Cloudera Lakehouse Optimizer, to strengthen the company’s commitment to delivering the best open data lakehouse powered by Iceberg.

According to the company, with these updates, Iceberg REST Catalog provides the open interoperability needed to share data seamlessly, while Lakehouse Optimizer will help to ensure data is always optimized and cost-effective for all engines accessing the data, all under Cloudera’s unified governance and security.

Cloudera integrates the Iceberg REST Catalog across a full-lifecycle data and AI platform, enabling secure, zero-copy data sharing and unified governance across any cloud or data center.

This allows third-party engines to access Cloudera-managed data directly—without copying or moving it—and ensures consistent policy enforcement and metadata intelligence in public clouds, data centers, and the edge.

By extending the power of Apache Iceberg with REST-based access, Cloudera enables enterprises to future-proof their data strategies while retaining control, visibility, and compliance, the company said.

Following these updates, all Cloudera customers on Iceberg will now benefit from seamless zero-copy interoperability across the ecosystem, enabling connections to leading analytics and AI engines such as Snowflake, Databricks, AWS Athena, AWS EMR, and Salesforce—with full ACID compliance and unified access policies.

They will also gain enterprise-grade governance, extending fine-grained access controls, lineage, and auditing to third-party tools through Cloudera’s Shared Data Experience (SDX), which ensures secure data democratization and compliance at scale.

In addition, customers will have open metadata access, providing instant discoverability of data assets without being locked into proprietary catalogs, which accelerates AI development and business intelligence with a consistent source of truth.

The Cloudera Lakehouse Optimizer is a new, intelligent service that will deliver automated optimizations and table maintenance for Apache Iceberg within Cloudera's lakehouse. It uniquely offers advanced, intelligent optimizations that go beyond basic table maintenance, including tasks like rewriting manifest and position delete files, the vendor said.

By intelligently optimizing tables, it eliminates the need for manual data management tasks and operational costs, allowing customers to focus on extracting insights from their data.

It's an open solution, applicable to any Iceberg-compatible engine on any public cloud and provides enterprise-ready observability and control through a unique user interface that allows for granular policy definition and modification, Cloudera said.

“Cloudera pioneered the Big Data industry and remains a leading platform provider who continues to invest in making the Apache Iceberg open table format enterprise ready,” said Leo Brunnick, chief product officer, Cloudera. “With today’s news, we continue to deliver on the promise of flexibility, scalability, and uncompromised insights when and where you need them the most. That commitment is why the world’s largest organizations rely on Cloudera to bring AI to their data—wherever it lives.”

Both Cloudera Data Sharing, powered by Iceberg REST Catalog, and Cloudera Lakehouse Optimizer are now available.

For more information about this news, visit www.cloudera.com.


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