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Today, data-driven enterprises need to securely operationalize their data across the full data lifecycle. Cloudera Data Platform (CDP) Data Visualization (DV) enables data engineers, business analysts, and data scientists to quickly and easily explore data, collaborate, and communicate explainable insights everywhere. DV enables intuitive and accessible drag-and-drop data visualization included with CDP’s Data Warehouse and Machine Learning services. In this webinar you will learn how DV delivers:

  • Fast intelligent reporting with built-in AI-powered Natural Language Search and Visual Recommendations

  • Ease of use in an intuitive, visual UI for instant insight sharing without moving data or 3rd party tools

  • Accelerated collaboration with a consistent, integrated data visualization experience across all data and business teams


Senior Manager, Product Marketing MLOps

Santiago Giraldo


Santiago leads product marketing for Cloudera’s machine learning and data engineering products. With over 10 years in the data science and analytics software industry, Santiago focuses on enabling businesses to solve complex challenges with novel data strategies and machine learning approaches.

Senior Manager, Product Management, Data Engineering

Shaun Ahmadian


As Senior Product Manager, Shaun leads Cloudera’s data engineering and visualization products. Prior to Cloudera, Shaun was a lead solutions engineer for Arcadia Data, a big data business intelligence company enabling Fortune 500 enterprises with visual analytics and BI capabilities at scale.

Sr. Director of Product Management

Eva Nahari


Eva is a Senior Director of Product in Cloudera’s Data Warehouse team, with a focus on discovery data warehouse use cases and end-user experience. Eva brings broad and deep insight into cross-industry data strategies and customer success based on her many years of experience in modern data warehousing and as the chair of Cloudera Executive Advisory Board. Before Cloudera, she spent 15+ years in infrastructure software. Eva has a M.Sc. in computer science, with focus on AI, machine learning, and autonomous systems, she has been awarded multiple technical patents throughout her career.

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