Cloudera Now, our quarterly virtual event, is designed for IT and data practitioners who want to hear the latest and greatest on Cloudera products. Through comprehensive demos, customer use cases, and Q&A, attendees will gain new skills and knowledge to bring back to their organizations. 


Join us and be among the first to get early access to products, code drops, and sneak previews of new technologies. Can’t make it? No need to worry – you’ll be able to access all content on-demand to view at your convenience.

What you can expect from Cloudera Now

Drive results with open architecture

Discover how open, agnostic architectures open a world of possibilities. From collecting, ingesting, and moving data from any source to the right systems, to quickly delivering on advanced analytical insights and AI apps, learn how Cloudera can support you in turning data challenges into data possibilities.

Product demos

See hands-on demonstrations of new products, use cases, and insights to make data workflows easier to implement and more efficient. You’ll also get access to code drops and sneak peeks at upcoming technology. Suffer from FOMO? Don’t miss these demos.


Intro to implementation

Take the guesswork out of implementing the latest technology updates from Cloudera. Learn how to make complex data simple with Apache Iceberg, deliver and maintain AI applications quickly, and easily move data with a system-agnostic DataFlow user interface. Tune in for step-by-step walkthroughs led by Cloudera experts.

Interactive Q&A sessions

Whether you’re looking to enable advanced analytics with Apache Iceberg, improve MLOps with a Model Registry, or move mission-critical data more quickly with DataFlow – or maybe even all three, you’re bound to have some questions about how to get started. Join a live Q&A session to ask Cloudera product experts anything and everything you can think of about the challenges and opportunities that lie ahead.


Open Data Lakehouse: Enabling Advanced Analytics with Apache Iceberg

Jonathan Ingalls, Senior Solutions Engineer

An Open Data Lakehouse helps organizations run high performing analytics on all data, both structured and unstructured at massive scale.  It eliminates data silos and allows practitioners to collaborate on the same data with the tools of their choice.  Join us for a live demo to learn more about the latest capabilities in Cloudera’s Open Data Lakehouse architecture and how you can benefit from the latest innovation to enable advanced analytics with Apache Iceberg. In this session, you will learn:

  1. How Streaming ingestion real-time data into your lakehouse enables real-time analytics

  2. How new capabilities such as time travel, partition evolution, and FGAC enhance data management and deliver high performing analytics

  3. How to deploy AI/ML models for advanced analytics on the open data lakehouse.

Take Your MLOps to the Next Level with Cloudera's NEW Model Registry

Jacob Bengtson, Principal Technical Evangelist

Learn how the Cloudera Model Registry can help you manage and deploy machine learning models with ease. Discover its key features and benefits, including hybrid and multi-cloud support, improved traceability and reproducibility of model development, and integration with CI/CD pipelines. Join us to understand how the Model Registry can empower your organization's MLOps and take your machine learning to the next level.

DataFlow: Move mission-critical data from anywhere to anywhere else in minutes

Chris Joynt, Director Product Marketing, Data in Motion

For many companies, cloud costs and complexity are growing out of control as data volumes continue to accelerate. Cloudera Data in Motion is the most efficient, trusted, and complete solution on the planet today for data ingestion, streaming, processing and distribution.

Join this session where we will explain and demonstrate two newly released features of Cloudera Data Flow that will further enhance the efficiency of your data pipelines.

The two new features are:

  • DataFlow Designer, a single development environment to help teams more effectively build and manage data flows that can take advantage of the auto-scaling, flow isolation and KPI monitoring capabilities of the cloud.
  • DataFlow Functions, a no-code, flow development UI for serverless compute services, helping reduce TCO for event-driven workloads and take full advantage of cloud scalability and development velocity.


Santiago Giraldo Sr. Director, Product Marketing - Hybrid Data Services
Jonathan Ingalls Senior Solutions Engineer
Jacob Bengtson Principal Technical Evangelist
Chris Joynt Director Product Marketing, Data in Motion

Register now

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