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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Data Modeling & Evolving Data Products
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What You'll Learn In This Masterclass
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 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 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.
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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