Most cloud-based data platforms don't allow organizations to manage and share all data. In this video, learn how Cloudera's Shared Data Experience (SDX) is allowing data analysts and scientist to have better control of their data regardless of where it is located.

2018 has been quite a year for Cloudera. Besides celebrating our 10-year anniversary, we recently announced Cloudera Enterprise 6.0, a major platform update. Learn more.

Multi-disciplinary analytics are the key to moving from insight to action but how do you keep the data context in sync between transient and persistent workloads, especially when cloud gets involved? In this video, we'll show you why a shared data context is a crucial element to success, how the latest release of SDX lets you share context across even wider and how you too can add the capability to your Cloudera Enterprise deployments.

Workload Experience Manager (XM) gives you the visibility necessary to efficiently migrate, analyze, optimize, and scale workloads running in a modern data warehouse. With Cloudera Workload XM you can reduce migration time and risk, eliminate missed SLAs and slow queries, reduce downtime with faster troubleshooting, and maximize resource utilization.

Hear a quick sound byte about how this new IoT architecture is an enterprise-ready solution for real-time decision making that's flexible on a multi-cloud or a hybrid environment -- all with no vendor lock-ins.

The Navigator Audit Server runs out-of-the-box. With a few quick checks, you can make it run more efficiently for your environment and audit needs. Check what audit events are collected and how long they stay, and make sure you have an archiving system for audits.

Cloudera Workload XM, a new intelligent workload experience management cloud service built for today’s modern data warehousing that enables extraordinary analytic experiences. With Workload XM, you can migrate, analyze, optimize, and manage analytic workloads at scale.

Learn how Cloudera Enterprise 6 can make data analysts, data scientists, and developers more productive, efficient, and effective in the cloud or on-premises.

This video demonstrates how to run experiments using Cloudera Data Science Workbench.

This video demonstrates how to deploy models using Cloudera Data Science Workbench.