Designing Scalable Data Models & Products
Build data models that reflect the business—and data products that actually get used.
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We’re excited to feature Matthew Weingarten, an accomplished Senior Data Engineer with extensive expertise and a track record of delivering impactful data solutions for almost a decade across big and small orgs. Matthew has contributed to and led transformative projects with industry leaders like Meta, Disney Streaming, Nielsen, and is now driving innovation at Samsara.
Matthew’s work stands out for his ability to build scalable, high-performance data pipelines and architecture solutions that leverage IoT data and cloud technologies. Beyond his technical prowess, Matthew has made a significant impact as a data engineering advocate on Medium, where he began his writing journey in 2022. Since then, he has consistently shared insightful articles that have educated and inspired countless professionals in the data engineering community.
Who is this course for
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What you’ll learn
What’s What? Data Modeling & Data Products 💡
Understand the concept of Data Modeling and what are data products.Data Modeling: The process of defining the structure, relationships, and constraints of data. Aims to optimize how data is stored and accessed. Can be performed at different levels (conceptual, logical, physical) and using various methods (dimensional data modelling, data vault, etc.)Data Product: A reusable, active, and standardized data asset designed to deliver measurable value by applying product thinking principles. It includes one or more artifacts enriched with metadata like governance policies and data contracts. Usually aligned to a specific domain or use case.
What’s What? Data Modeling & Data Products 💡
Understand the concept of Data Modeling and what are data products.Data Modeling: The process of defining the structure, relationships, and constraints of data. Aims to optimize how data is stored and accessed. Can be performed at different levels (conceptual, logical, physical) and using various methods (dimensional data modelling, data vault, etc.)Data Product: A reusable, active, and standardized data asset designed to deliver measurable value by applying product thinking principles. It includes one or more artifacts enriched with metadata like governance policies and data contracts. Usually aligned to a specific domain or use case.
Mahdi is a product & data leader with eight years of experience in the data space. I spent most of my career designing and building petabyte-scale data platforms in multiple industries (AdTech, SaaS, and Finance) while switching between various hats (data engineer, tech lead, data architect, and ML Ops engineer).
Enroll for free today:
- 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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