Cloudera, an enterprise AI-based data company, has announced the next phase of its open data lakehouse on private cloud that develops on-premise data experiences for trusted analytics and AI at scale. With its latest round of enhancements, Cloudera is understood to have become the provider of an open data lakehouse with Apache Iceberg for public and now private clouds.
According to an official release, by delivering Apache Iceberg for private clouds, Cloudera is helping organisations overcome issues and scale enterprise AI deployments. It’s believed that Cloudera provides the ability to run an air-gapped large language model (LLM) deployment, providing customers with security and data privacy, as well as improved performance and reduced operational costs.
Reportedly, Cloudera is also rolling out additional updates to its platform that will deliver business value to its customer base, including zero downtime upgrades (ZDU) and security enhancements such as Transport Layer Security (TLS) 1.2 for business continuity and minimised interruptions, new Apache Ozone capabilities, such as quotas, snapshots, and disaster recovery enhancements that enable scalability at lower cost to service the data consumption needs of modern workloads, and support for integrations including Python 3.10, RHEL 9.1, RHEL 8.8 FIPS, SLES 15 SP4, Oracle 8.8, and JDK 17 for compatibility and flexibility.
“Cloudera’s mission is to empower customers to transform data into actionable insights by enabling it with AI. By giving them a data foundation for analytics, this next phase of cloud-native solutions aims to unlock possibilities for building innovative AI applications,” Dipto Chakravarty, chief product officer, Cloudera, said.
