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Date: August 30, 2018 Time: 10:00am PT/1:00pm ET

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Add to Calendar 8/30/2018 10:00 AM 8/30/2018 11:00 AM America/Los_Angeles Introducing the Data Science Sandbox as a Service We hope you’ll join us for a live webinar where we'll discuss a new solution for scaling data science in the cloud with efficiency, security, and governance. Cazena’s Data Science Sandbox as a Service delivers a complete stack for analytics with Cloudera EDH and Cloudera Data Science Workbench that’s automated, secured and supported 24x7 on Azure and AWS. Get real-world perspectives, expert advice and see a demo in this interactive session with speakers from Cloudera, Cazena and a senior data scientist from Bardess. Online Webinar

How can companies integrate data science into their businesses more effectively? Too often, the story of a data science team is one of inadequate organizational support in IT infrastructure, data management challenges and poor cross-functional communication. But now, a new generation of best practices and solutions are helping companies rapidly operationalize data science/ML. To be successful, companies must balance enterprise requirements for security and governance, with the analytic agility needed for innovation.

Join the upcoming webinar and demonstration to hear more about operationalizing data science with Cloudera Data Science Workbench on Cazena’s fully-managed cloud platform:
  • Hear more about the new requirements for enterprise analytics from experienced data scientists: Get real-world perspectives from senior leaders at Bardess, joined by technical experts from Cloudera and Cazena.
  • Learn new solutions and methods for common infrastructure challenges, such as:
    • Scaling machine learning, models, and data
    • Operationalizing machine learning
    • Ensuring governance and security
  • See Cloudera Data Science Workbench in action: See CDSW running on a fully-managed Cloudera EDH as a Service platform from Cazena, with automation, built-in DevOps, security, support and 24x7 production operations included.


VP Product Management, Cazena

Lovan Chetty


Lovan Chetty is VP of Product Management at Cazena. He has been involved in data warehousing and big data for over 15 years, initially building analytic systems for the global 2000 and later applying this knowledge to build products and services. At Cazena, Lovan works closely with enterprises, engineering and partners to define solutions and features that will add the most value for Cazena’s customers.

Senior Solutions Engineer, Cloudera

Mark Chisam


Mark Chisam is member of the Cloudera Field Customer Enablement team in the role of Sr. System Engineer. Previously, Mark spent 16 years as an Industry Architect at Sun Microsystems and Oracle. Over a 6 year tenure at Cloudera, Mark has assisted customers to advance the potential of Big Data, Data Science and Machine Learning into real business value. His customer base and expertise spans the financial, telco and retail/manufacturing industries. Mark is a University of Maryland Computer Science graduate with over 25 years of experience as an developer and architect.

Lead Data Scientist, Bardess

Dr. Daniel Parton


Started out as a scientist in computational biophysics, completing his PhD at University of Oxford followed by several years of research in the US. He then worked at the marketing firm Omnicom as a manager in data science, before joining Bardess to build out and lead the data science practice.


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