🎯 End-to-End Guide to Building Data Products

This is a collection of materials addressing everything you need to know about building data products for your use cases or organisation. We keep updating this series.

Ch 1: The Data Product Strategy | Becoming Metrics-First

Understanding the Essence of Data "AI as the new Electricity” has been evangelised by Andrew NG and the data community from a transformational point of view. “Just as electricity transformed almost everything 100. years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years.” - Andrew …

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Ch 2: How to Build Data Products? | Design: Part 1/4

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Much like product development, the first stage in Data Product Development is Design. In this article, we are addressing the nuances of the design stage specifically. This piece is ideally suited for a Data Product Manager or a data practitioner performing the functions of a Data Product Manager. We’ll dive right in.

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Ch 3: How to Build Data Products? | Develop: Part 2/4

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Once you have completed the design stage of data products and specifically know what you're going to do, and you have clear metrics in place, you can then go into the development stage and actually start building the data product. The Develop Stage is where the data product developers come into play, and business…

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Ch 4: How to Build Data Products? Deploy: Part 3/4

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This is part of the Data Product Lifecycle Series. If you’re new here, feel free to refer to: Stage 1: Designing Data Products Stage 2: Building Data Products

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Ch 5: How to Build Data Products | Evolve: Part 4/4

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This is part of the Data Product Lifecycle Series. If you’re new here, feel free to refer to: Stage 1: Designing Data Products Stage 2: Developing Data Products Stage 3: Deploying Data Products

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Ch 6: Transitioning to a Data Product Ecosystem: Leveraging the Evolutionary Architecture

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With the rapid introduction of new and disruptive innovations in the data space, CDOs are in a very tricky fight-or-flight mode. It’s harmful not only for the role but also for organisations increasingly experiencing higher attrition. The disruption is not just on a technical level but also on a resource level, which is especially precarious when the ro…

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Miscellaneous

Conceptual

1. ‍Figma for Data Products: Novel tech requires enough experimentation and a big playground
2. ‍Data Product Mart? Can Data Really be treated as a Product
3. ‍Why Data Craves Product Managers Beyond Doubt

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Design Paradigm & Modeling

1. ‍Data Modeling from the POV of a Data Product Developer
2. ‍Data-First Stack as an enabler for Data Products
3. ‍Evolution of the Data Stack: The story of how we interpret ever-growing data
4. ‍The Essence of Having Your Own Data Developer Platform

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Infrastructure

1. ‍Data Pipelines for Data Products
2. ‍The Infrastructure Subset of Data Products
3. ‍The Uncanny Resemblance b/w Data Products on DDPs and Software Development

About Modern Data 101

Modern Data 101 is a movement redefining how the world thinks about data. A community built by the same team behind the world’s first data operating system, Modern Data 101 sits at the intersection of data, product thinking, and AI. Spread across 150+ countries, the community brings together a global network of practitioners, architects, and leaders who are actively building the next generation of data systems.

At its core, Modern Data 101 exists to simplify the journey from raw data to tangible and observable impact. It advocates high-potential data systems and next-gen architectures to unify and activate insights and automation across analytics, applications, and operational workflows at the edge.

In a world shifting from data stacks to AI ecosystems, Modern Data 101 helps teams not just navigate the change but lead it.