Data Architectures for Data Science Using Data Virtualization | Rick van der Lans & Nick Golovin
How can a modern data architecture help data scientists be faster and work more efficiently. Check out our webinar recording featuring Rick van der Lans, CEO & Founder of R20/Consultancy, and Nick Golovin, CEO & Founder of Data Virtuality. Explore the rich history, current challenges, and future prospects of data science, with a focus on data virtualization’s transformative role.
Key Highlights:
The three major challenges in data science – adapting to data privacy regulations like GDPR, the evolving data storage landscape, and the complexities of data preparation
Critical challenges faced by data architects in supporting data science, focusing on decentralization, storage diversity, and privacy
Practical applications of data virtualization and how technologies like Data Virtuality are revolutionizing data management and accessibility
Webinar Overview:
Challenges in Privacy and Regulation: Learn how GDPR impacts data management and explore solutions like data masking.
Shifting Data Storage Landscape: Understand the transition from on-premise SQL databases to cloud platforms and its implications.
Data Preparation Explained: Gain insights into the complex, iterative process of developing data science models.
Real-World Applications: See how data virtualization is applied in various organizational contexts, assessing its benefits and challenges.
Speakers:
Rick van der Lans, CEO & Founder, R20/Consultancy
Nick Golovin, CEO & Founder, Data Virtuality
Useful Links:
Find out more about the Data Virtuality Platform –
Book a demo of the Data Virtuality Platform –
Start your free 30 day trial of the Data Virtuality Platform –
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#RickvanDerLans #NickGolovin #datavirtualization #dataintegration #datamanagement #datascience #datascientist
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