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.
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.