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Data models explained: Types, use cases, and examples

Data models explained: Types, use cases, and examples

Discover how data models bring order to complexity by defining clear structures, types, and relationships—enabling reliable data, consistent reporting, and smarter decisions.

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Data Infrastructure
Danika Rockett

Danika Rockett

Sr. Manager, Technical Marketing Content

by Danika Rockett

How Magic Eden captured 95% of the Solana NFT market with RudderStack

How Magic Eden captured 95% of the Solana NFT market with RudderStack

Magic Eden needed full control over how user data was captured, managed, and routed, all while ensuring compliance with the unique privacy requirements of Web3 ecosystems. RudderStack offered the flexibility they needed to build on their own terms.

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Data Infrastructure
Danika Rockett

Danika Rockett

Sr. Manager, Technical Marketing Content

by Danika Rockett

Make your data predictive: The Machine Learning phase

Make your data predictive: The Machine Learning phase

Discover how to advance to the Machine Learning phase of your data maturity journey, where customer data powers predictive models for churn, LTV, personalization, and more.

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Data Infrastructure
Danika Rockett

Danika Rockett

Sr. Manager, Technical Marketing Content

by Danika Rockett

Data warehousing is not a strategy: How to maximize ROI from your warehouse investment

Data warehousing is not a strategy: How to maximize ROI from your warehouse investment

How to go beyond fulfilling the requirement of having a data warehouse and reach a place where your team, and the entire company, is utilizing data from the warehouse to create maximum business value.

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Data Infrastructure
John Wessel

John Wessel

CTO, Mentor, & Data Consultant

by John Wessel

Data maturity Phase 2: Centralizing your customer data

Data maturity Phase 2: Centralizing your customer data

Many companies collect customer data, but it stays locked in silos. Learn why centralizing your data is the next critical step to unlock insights, build trust, and drive real business impact.

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Data Infrastructure
Danika Rockett

Danika Rockett

Sr. Manager, Technical Marketing Content

by Danika Rockett

Data maturity Phase 1: Build your foundation with streamlined collection

Data maturity Phase 1: Build your foundation with streamlined collection

The first step to data maturity is building a solid collection foundation. Learn how to replace brittle, fragmented tracking with a unified, governed approach.

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Data Infrastructure
Danika Rockett

Danika Rockett

Sr. Manager, Technical Marketing Content

by Danika Rockett

AI infrastructure 101: Building the foundation for ML

AI infrastructure 101: Building the foundation for ML

In this guide, we'll break down what AI infrastructure means, including the core layers you need to support scalable model development, training, and deployment.

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Data Infrastructure
Brooks Patterson

Brooks Patterson

Head of Product Marketing

by Brooks Patterson

RudderStack: The essential customer data infrastructure

RudderStack: The essential customer data infrastructure

Learn how RudderStack's customer data infrastructure helps teams collect, govern, transform, and deliver real-time customer data across their stack—without the complexity of legacy CDPs.

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Data Infrastructure
Danika Rockett

Danika Rockett

Sr. Manager, Technical Marketing Content

by Danika Rockett

Data modeling techniques for modern data warehouses

Data modeling techniques for modern data warehouses

Data modeling is the foundation of any high-performing data warehouse. This article breaks down modeling types and how to take a layered modeling approach so you can deliver clean, well-structured data to your warehouse.

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Data Infrastructure
Brooks Patterson

Brooks Patterson

Head of Product Marketing

by Brooks Patterson

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