Blueprint Series: A Platform for Freedom & Governance in the Cloud

Any enterprise seeking to create value from data has two conflicting and divergent objectives. On the one hand, cohorts of users and developers need to access data from multiple sources, to create analytics, dashboards, reports and apps. On the other hand, a responsible enterprise must secure, govern and define data...

Migrating Machine Learning to Spark on the Cloud

How to Leverage the Cloud for Business Solutions

STREAMING INTEGRATION: POWERING HYBRID CLOUD, MACHINE LEARNING AND FAST ANALYTICS

IMPROVING FLOW-OF-GOODS THROUGH CLOUD-SCALE ANALYTICS

REACH FOR THE CLOUDS – ENABLE THE BUSINESS WITH THE POWER OF DATA

HOW TO MOVE HADOOP DATA TO THE CLOUD EFFECTIVELY, EFFICIENTLY WITH NO RISK

MULTI-CLOUD MEGATRENDS FOR DATAOPS

CONSISTENT SECURITY, GOVERNANCE AND FLEXIBILITY FOR ALL WORKLOADS – ON-PREMISES OR IN THE CLOUD

The growth of public cloud is reinforcing the need to think more carefully about taking a consistent approach to data governance as technology teams build out a flexible and agile infrastructure to meet the demands of the business. Join this session to learn more about Cloudera’s recommended approach for enterprise-grade...

Five Must-Haves if You Want a Big Data PaaS

By Hannah Smalltree, Cazena If you’re considering a Platform as a Service for big data, analytics or data science – this is no holiday wishlist, these are requirements.   The platform-as-a-service (PaaS) market is growing quickly for big data and analytics, and for good reasons. The cloud PaaS model promises...