Cloudera, a hybrid platform for data, analytics and AI, is introducing two key enhancements to its metadata management solutions, boosting open interoperability within the open data lakehouse and addressing increasing demands for security and governance across the entire data lifecycle.
Cloudera delivers an end-to-end open data lakehouse with open standards that can integrate and interoperate in any ecosystem.
The latest updates to support this commitment to modern data architectures include:
- Cloudera's new Iceberg REST Catalog integration now allows seamless access to Apache Iceberg tables using third-party engines, enabling users to leverage various tools while ensuring unified security and governance. It simplifies data access and maintains data permissions and lineage across platforms, reducing the cost and the risk of data breaches by minimizing the number of separate security layers.
- Cloudera's Shared Data Experience (SDX) is now in technical preview as a cloud-native, containerized experience that provides end-to-end unified data security, governance, and metadata management, now enhanced for greater elasticity, scale and performance. It provides self-service data access across tools, helps to minimize breach risks by consolidating security functions, and supports single-pane-of-glass management across cloud and on-premises data.
In addition to safeguarding data with security and lineage throughout its lifecycle, Cloudera's latest updates enable enterprises to boost performance, scalability, and resiliency while reducing total cost of ownership (TCO) by optimizing metadata management, according to the company.
The expansion also facilitates metadata sharing without creating copies, enabling innovation with third-party tools without vendor lock-in.
"Unified data and interoperability has, and continues to be, central to Cloudera's open data lakehouse architecture across hybrid clouds," said Dipto Chakravarty, chief product officer at Cloudera. "Our platform delivers unmatched scalability, performance, resilience, and cost-efficiency for managing expanding metadata, without vendor lock-in or data silos. By adhering to open standards, we ensure seamless integration and interoperability across any ecosystem so enterprises can make the most of their AI investments."
For more information about this news, visit www.cloudera.com.