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Announcing: Altus Analytic DB (Beta)

Get control. Unleash the power of the cloud.

Cloud services offer the promise of easy, fast access to big data and analytics services. But just like the challenges with on­ premises data silos, cloud data services can actually create more data silos faster, making it even harder to implement high-value use cases and increasing security challenges. Cloudera Altus helps define, secure, and serve data with Cloudera Shared Data Experience (SDX) in an enterprise-grade environment, without the enterprise-size infrastructure headaches.

Experience your data. Your way.

Tackling complex data-driven problems requires analytics working in concert, not in silos. Cloudera Shared Data  Experience, or SDX, combines enterprise-grade centralized security, governance, and management capabilities with a shared data catalog, eliminating costly data silos, lock in to proprietary formats, and resource contention for analytics users. Now data scientists, data engineers. and others can enjoy the collaborative advantages of SDX on premises, as a self-managed framework for any cloud-based application, and as a managed service within Cloudera Altus.

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Altus SDX: Stopping data sprawl in its tracks

Thanks to cloud, business users have the self-service capability they've been clamoring for to spin up analytics applications and access data without IT getting in the way of progress. In other words, without IT oversight.

However, independence comes at a price. Moving data into redundant application silos removes IT governance, security, and management. It also limits its contribution to high-value use cases like predictive maintenance or advanced threat detection that rely on shared access to disparate data to provide insights.

Now you can have the best of all worlds — self-service access to data and analytic functions for the business user and tight control over security, governance, and access for IT.

Cloudera Altus is the first and only machine learning and analytics platform as a service (PaaS) built with shared data catalog and context, available as a managed service through Cloudera's Shared Data Experience (SDX). By preserving business metadata and policies, Altus SDX makes it easier to deliver complex machine learning and analytics applications in the cloud

Every service on Altus - Altus Data Engineering, Altus Analytic DB (beta), and the forthcoming Altus Data Science - shares access to the same data, which can be deployed in public clouds such as AWS or Azure or anywhere your data needs to reside.

Deploy and run on any cloud

High-performance analytics

Run the analytic tool of choice against cloud-native object store, Amazon S3.

Elastic and flexible

Support transient Hadoop clusters and permanent ones for long-running Bl and operational jobs.

Multi-cloud provisioning

Deploy and manage Cloudera Altus across AWS and Microsoft Azure public clouds.

Automated metering and billing

Spin up and terminate clusters, paying only for what you need, when you need it.


Strategies for enterprise-grade Azure-based analytics


Optimize your cloud strategy for machine learning and analytics

Announcing Cloudera Altus SDK for Java: Programmatically leverage a platform-as-a-service for ETL with massive-scale storage and compute.