FREMONT, Calif., April 1, 2021 — Privacera, a cloud data governance and security leader founded by the creators of Apache Ranger, today announced a new integration with Amazon Elastic MapReduce (EMR).

Cloudera leads Iceberg innovation with REST Catalog, powering zero-copy data sharing and unified metadata intelligence ...

Cloudera today announced updates to its platform, specifically Cloudera Iceberg REST Catalog and Cloudera Lakehouse - Read ...

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 ...

Cloudera has integrated the Iceberg REST Catalog across what it describes as a full-lifecycle data and AI platform. The aim is to enable secure, zero-copy data sharing and unified governance across ...

Amazon's (NASDAQ:AMZN) Amazon Web Services and SAP (NYSE:SAP) are collaborating to make SAP Sovereign Cloud capabilities available on the AWS European Sovereign Cloud. Last year in May, AWS announced ...

The financial services industry stands at the intersection of technological innovation and regulatory complexity, where advanced data analytics and machine learning capabilities are reshaping ...

With these updates, Iceberg REST Catalog provides the open interoperability needed to share data seamlessly, while Lakehouse ...

Certification covers the full spectrum of AI usage, from the Qualifacts iQ platform to internal business systems, reinforcing the company’s commitment to secure and responsible AI in behavioral ...

SANTA CLARA, Calif., Sept. 25, 2025 (GLOBE NEWSWIRE) -- Cloudera, the only company bringing AI to data anywhere, today announced updates to its platform, specifically Cloudera Iceberg REST Catalog and ...

随着企业竞相释放 AI 与分析技术的潜力，它们面临着重大障碍：复杂的数据架构、孤岛式平台以及参差不齐的治理机制。 在系统间传输数据用于分析或 AI 训练，会导致成本增加、引发安全风险并延迟洞察获取。 现代组织需要开放、安全且可互操作的数据架构，从而为无处不在的 AI 随时随地提供数据支持与多引擎分析，同时避免数据冗余或陷入供应商锁定的局面。

随着企业竞相发掘AI和分析功能的潜力，同时也面临着诸多挑战，例如复杂的数据架构、孤立的平台和不一致的治理。在系统之间移动数据进行分析或AI训练，会增加成本、带来安全风险，并延迟洞察获取。现代企业需要开放、安全且可互操作的数据架构，以支持AI广泛存在背景下处于各类复杂环境中的数据，以及多引擎分析，同时避免数据重复或被单一供应商锁定。