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Cloudera Cloudera

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Today’s data management landscape is dominated by cloud solutions, yet many organizations struggle to gain value, drive innovation,  and manage costs.  A simple and secure cloud data management platform supporting both IT strategy and business needs are critical to making data accessible to all, without breaking security or the bank. Cloud data management helps organizations analyze streaming data, modernize data warehouse and analytics, and expand the use of machine learning.

  • Where cloud data management fits in an ever-changing industry and world

  • What innovations have been made possible with cloud  data management

  • What’s new and what’s to come for Cloudera Data Platform


Part I: How did we get here?  The journey to Cloud Data Management

  • How changes in the industry and global context led to cloud data management

  • Introduction to Cloud Data Management Fundamentals

  • Panel discussion: customers, use cases, and industry reports

Part II: How does it help? Industry use cases for Cloud Data Management

  • Predictive maintenance in manufacturing

  • Patient 360 in healthcare

  • Customer service management in banking

Part III: Where do I start & what’s next?

  • Journey to the Cloud and Cloudera Data Platform (CDP)

  • Cloud experiences: Data Engineering, Data Flow, Data Warehouse, Machine Learning, and Visual Applications

  • Roadmap, vision, and direction for CDP and Cloud Data Management

Live Q&A



Director of Product Marketing

David Dichmann


David is responsible for product marketing for the Cloudera Data Warehouse. David has over 25 years experience in information architecture and enterprise architecture, turning data into information to help businesses and people make an informed decision. Before joining Cloudera, David has worked for companies like Sybase, SAP, and Hewlett Packard Enterprise. David has been published in industry magazines and is a regular speaker at industry events.

Senior Manager, Product Marketing MLOps

Santiago Giraldo


Santiago leads product marketing for Cloudera’s production machine learning 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.

Director, Platform Product Marketing

Wim Stoop


Wim Stoop is the Director, Platform Product Marketing at Cloudera. In this role, he leads the marketing direction and strategic vision for Cloudera’s mission to let organisations turn data into business value at scale. Prior to Cloudera, Wim spent more than 17 years helping blue-chip companies such as IBM, BP, and HSBC solve their most data-intensive challenges in the context of their business objectives and usage scenarios. Wim is a regular speaker at industry events where organisations are deciding and defining their big data strategy and direction. Wim holds a degree in Chemical Process Technology from the Eindhoven University of Technology in The Netherlands.

Director of Product Marketing

Dinesh Chandrasekhar


Dinesh Chandrasekhar is a technology evangelist, a thought leader and a seasoned product marketer with over 24+ years of industry experience. He has an impressive track record of taking new integration/mobile/IoT/Big Data products to market with a clear GTM strategy of pre-and-post launch activities. Dinesh has extensive experience working on enterprise software as well as SaaS products delivering sophisticated solutions for customers with complex architectures. As a Lean Six Sigma Green Belt, he has been the champion for Digital Transformation at companies like Software AG, CA Technologies and IBM. Dinesh’s areas of expertise include IoT, Application/Data integration, BPM, Analytics, B2B, API management, Microservices, and Mobility. He is proficient in use cases across multiple industry verticals like retail, manufacturing, utilities, and healthcare. He is a prolific speaker, blogger, and a weekend coder. He currently works at Cloudera, managing their Data-in-Motion product line. He is fascinated by new technology trends including blockchain and deep learning. Dinesh holds an MBA degree from Santa Clara University and a Master’s degree in Computer Applications from the University of Madras.

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