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Learn how Cloudera’s open source data platform enables our public sector customers to extract actionable insights from complex data across on-premise and hybrid/multi cloud environments, anywhere, from the Edge to AI. This half-day technical event included deep dive sessions and demonstrations from our product and engineering teams, as well as current public sector use cases.

If you are unable to register to watch these sessions on-demand due to company filters or firewalls, please email Michelle Meadows ( for further assistance. 


6 mins

Welcome and Opening Remarks

Robert Carey, VP and General Manager, Public Sector

54 mins

Keynote and Cloudera Data Platform Roadmap

Fred Koopmans, VP, Product Management

Cloudera Data Platform (CDP) is the industry’s first enterprise data cloud, delivering a comprehensive set of multi-function analytic experiences on any data, anywhere, with common security, governance, and control. In this exclusive product roadmap session, we will provide an update on CDP, both the on-premises software and private cloud service.

30 mins

Cloudera Data Flow: Streaming Data and Analytics

Joe Witt, VP, Engineering, Kenny Gorman, Principal Engineer & Michael Kohs, Product Manager

Learn about Cloudera's scalable, real-time streaming analytics platform that ingests, curates, and analyzes data for key insights and immediate actionable intelligence. This session addresses the key challenges missions face with data-in-motion.

35 mins

CDP Migration from Cloudera Enterprise

Tristan Stevens, Director of Technology, CDP Adoption

Get a migration plan, resources, and advice on upgrading from Cloudera's CDH platform to the latest Cloudera Data Platform.

30 mins

Breakout Sessions

Deep-dive into Cloudera Data Flow (powered by Apache Nifi) and Edge & Flow Management (powered by Apache Nifi)

Joon Kim, Senior Solutions Engineer

This technical deep-dive addresses the key challenges agencies face with data-in-motion. This session will cover:

  • Enabling the edge-to-enterprise journey for streaming data at scale
  • Tracking data provenance and lineage of streaming data
  • Managing and monitoring edge applications and streaming sources


Data Science, Machine Learning, and Artificial Intelligence on Cloudera

Ian Brooks, Solutions Engineer and Data Scientist

The Cloudera Data Science platform provides mission data science platform that accelerates data science and machine learning projects by providing a robust yet familiar environment for model building with self-service access to data wherever it’s stored. With a complete solution for data exploration, analysis, visualization, modeling and model deployment, Cloudera Data Science platform makes secure, collaborative data science at scale a reality for the enterprise, accelerating the delivery of new data products and unifying IT, data science, developers, analysts and mission stakeholders across the data science workflow.


Cloudera Data Platform Private Cloud on Red Hat OpenShift

Tom Deane, Senior Director Product Management, Wim Stoop, Director Product Marketing & Shaun Ahmadian, Senior Product Manager

Red Hat and Cloudera offer a combined solution that helps mission securely manage the complete data lifecycle, putting data to work faster and reducing time to value. Cloudera Data Platform (CDP) Private Cloud on OpenShift aggregates and visualizes data to derive actionable insights in a secure, hybrid open source environment.

CDP Private Cloud is an enterprise data platform with next generation cloud-native hybrid data architecture, enabling on-premises deployments with the agility, flexibility and cost-efficiency of cloud architectures. Red Hat® OpenShift® is a container platform for Kubernetes that can automate the provisioning, management and scaling of applications. The CDP Private Cloud next-generation hybrid platform combined with the Red Hat® OpenShift enterprise-grade Kubernetes container-based management tools consistently provisions and scales analytic workloads in minutes and allocates just enough resources to meet demand.

30 mins

Breakout Sessions

Cloudera Data Visualization - Arcadia

Priyank Patel, VP Product Management

Cloudera Data Visualization enables data engineers, business analysts, and data scientists to quickly and easily explore data, collaborate, and share insights across the data lifecycle—from data ingest to data insights and beyond. Delivered natively as part of Cloudera Data Platform (CDP), Data Visualization delivers a consistent and easy-to-use data visualization experience with intuitive and accessible drag-and-drop dashboards and custom application creation.


Cloudera Security and Data Governance

Jonathan Hsieh, Director Product Management, Data Management

In this session learn about Cloudera components that deliver an integrated set of security and governance technologies built on metadata and deliver persistent context across all analytics as well as public and private clouds. Consistent data context simplifies the delivery of data and analytics with a multi-tenant data access model that is defined once and seamlessly applied everywhere. These tools reduce risk and operational costs by delivering consistent data context across deployments. IT can deploy fully secured and governed data lakes faster, giving more users access to more data, without compromise.


Cloudera Streams Messaging, Processing and Analytics Capabilities

Tim Spann, Principal DataFlow Field Engineer

Powered by Apache Flink Stream Processing and Analytics capabilities within, Cloudera platform helps missions to democratize real-time streaming analytics across the organization. This improves detection and response to critical events that deliver mission outcomes. With the advent of IoT and other streaming sources, unbounded data streams and events are constantly flowing into the mission. Cloudera's stream-processing capabilities help analyze them in real time, identify key event patterns, and escalate key alerts based on predictive insights and actionable intelligence.


VP and General Manager, Public Sector

Robert Carey

Fred Koopmans
VP, Product Management

Fred Koopmans

VP, Engineering

Joe Witt

Principal Engineer

Kenny Gorman

Product Manager

Michael Kohs

Director of Technology, CDP Adoption

Tristan Stevens

Sr. Solutions Engineer

Joon Kim

Solutions Engineer and Data Scientist

Ian Brooks

Senior Director Product Management

Tom Deane

Director Product Marketing

Wim Stoop

Senior Product Manager

Shaun Ahmadian

VP Product Management

Priyank Patel

Director Product Management, Data Management

Jonathan Hsieh

Principal DataFlow Field Engineer

Tim Spann

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