Why is Data Virtualization a Data Scientist’s Best Friend?


Data virtualization can help data scientists accelerate some of the most tedious tasks, including data exploration, acquisition, and analysis, allowing them to focus on advanced analytics. As data virtualization integrates well into the data science ecosystem, an added benefit is that the data scientist does not need to change tools or learn new languages in order to leverage all of the enterprise data.

In this session, I will explain what data virtualization is, show you why it's a critical component of an organization's data architecture, and how it empowers data scientists and in this way becoming their best friend.

Join me for this session to:

Understand how data virtualization is the best approach when handling “big data”

Find out how data virtualization helps you bring together disparate data sources from on-premise data warehouses, cloud data lakes, and other hybrid infrastructures

Learn how data virtualization allows data scientists to be more agile

Discover the way our intelligent data catalogue uses AI and ML to gain a deeper understanding of your metadata and how that helps a data scientist

Find out how Prologis use the Denodo Platform for Data Virtualization to improve outcomes in their data science department


Robin Tandon is the Director of Product Marketing (EMEA & LATAM) at Denodo. Robin has over 20 years of industry experience working with enterprise and cloud software organizations. He is responsible for all Denodo product marketing activities in his supported regions. Robin is a keen agile practitioner and a certified Scrum product owner; he also holds a B.Sc. (Hons) in Computer Science and Geology from the University of Sunderland.

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