Alexandre Gontcharov
Alexandre Gontcharov
Senior Manager, Process & Product at SSENSE

Data Modeling & Evolving Data Products

  • Data Modeling, Data Products, & Everything in Between!
  • Adapted Data Modeling Practices in a Data Product Era.
  • Embracing The Right Tools & Frameworks
  • Designing Scalable and Reusable Data Products

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Meet Your Data Guru

Alexandre Gontcharov
Senior Manager, Process & Product at SSENSE
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What You'll Learn In This Masterclass

💡 Rising Adoption of the Semantic Layer

Organizations are increasingly embracing semantic layers to create a unified and consistent view of their data. This shift simplifies data access for business users and enables more scalable, governed analytics.

💡 Data Engineers: More Than Magicians

Data engineers are stepping out from behind the curtain to take on more strategic, cross-functional roles. They’re not just building pipelines—they’re shaping how data is modeled, served, and consumed across the business.

💡 Data Products in Practice

Data products are moving from theory to tangible value, with teams building reusable, domain-driven datasets that serve real business needs. Success hinges on collaboration between data, domain, and platform teams.

💡 Prerequisites for Evolving Data Models

Before data models can evolve effectively, organizations need a foundation of data quality, ownership, and clear domain boundaries. Without these basics, even the best tools and intentions can lead to chaos.

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Alexandre Gontcharov
Senior Manager, Process & Product at SSENSE
April 22, 2025

Data Modeling & Evolving Data Products

  • Data Modeling, Data Products, & Everything in Between!
  • Adapted Data Modeling Practices in a Data Product Era.
  • Embracing The Right Tools & Frameworks
  • Designing Scalable and Reusable Data Products
Mahdi Karabiben
Head of Product
April 22, 2025

Data Modeling For Data Products

  • Data Modeling, Data Products, & Everything in Between!
  • Adapted Data Modeling Practices in a Data Product Era.
  • Embracing The Right Tools & Frameworks
  • Designing Scalable and Reusable Data Products

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