Tag Archives: Altus

Building the Modern Platform with Cloudera Enterprise 6.x

Categories: Data Engineering Enterprise Data Hub Shared Data Experience

Why Enterprises Need to Unify ML, Analytics, and Cloud Times are changing, and the traditional models of analytics and data management don’t serve the needs of the modern enterprise, so the way to address these topics is changing too. While organizations are moving more workloads to the cloud, many mission-critical workloads remain on-prem. End users,…

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Cloudera Altus is Now Available on Azure

Categories: Cloud Data Engineering Data Warehouse Shared Data Experience

It was exactly one year ago at Strata London that we introduced the world to Cloudera Altus Data Engineering. The premise was simple: make it quicker and easier for customers to drive data to their machine learning and analytics services by leveraging cloud resources, while at the same time, eliminating the pain associated with managing…

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Altus SDX: Shared services for cloud-based analytics

Categories: Cloud Data Engineering Data Warehouse Enterprise Data Hub Shared Data Experience

The real power in machine learning and analytics is when multiple analytics disciplines are able to work together in concert, sharing data in service of solving more complex and more valuable questions. That’s what Cloudera SDX (Shared Data Experience) enables for our customers and why we’re so excited to introduce it today for Cloudera Altus.…

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Cloudera: Cloud Covered at Strata

Categories: Cloud Events

Headed to Strata Data Conference, New York? Interested in best practices for big data initiatives in cloud environments? If you’ve said “yes” to both these questions, this is a splendid opportunity to learn how Cloudera offers easy, unified, and enterprise-grade cloud solutions. Cloudera will be well represented and we’re coming heavy with speakers and sessions…

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Announcing Workload Analytics for Cloudera Altus

Categories: Cloud Data Engineering

When we announced Cloudera Altus, we called out three guiding principles that led us to reimagine running big data workloads in the cloud: simplicity, cost effectiveness, and maintaining the integrity of Cloudera’s trusted, enterprise-grade platform at the core. We decided early on that enabling customers to migrate data engineering workloads (which benefit most from cloud…

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