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Data life cycle: Stages, importance, and best practices

Data life cycle: Stages, importance, and best practices

In this guide, we'll break down each phase of the data life cycle, explain why it matters, and share best practices to help you maximize the value of your data at every stage.

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Data Governance
Danika Rockett

Danika Rockett

Sr. Manager, Technical Marketing Content

by Danika Rockett

What is AI data governance? A guide for data teams

What is AI data governance? A guide for data teams

In this guide, we'll break down the key principles, roles, and practices that define modern AI data governance. You'll learn how to design governance systems that scale with your AI programs while remaining audit-ready and regulation-compliant.

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Data Governance
Danika Rockett

Danika Rockett

Sr. Manager, Technical Marketing Content

by Danika Rockett

Generative AI risks and how to approach LLM risk management

Generative AI risks and how to approach LLM risk management

Explore the top generative AI risks—hallucinations, data leakage, prompt injection, and compliance gaps—and learn strategies to detect, mitigate, and govern them effectively.

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Data Governance
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

Snowflake data integration: A guide for modern teams

Snowflake data integration: A guide for modern teams

In this guide, you'll learn how to approach ETL and ELT workflows, leverage Snowpipe for real-time ingestion, enforce governance, and reduce integration costs with best-in-class practices.

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Data Integration
Danika Rockett

Danika Rockett

Sr. Manager, Technical Marketing Content

by Danika Rockett

Behavioral segmentation: Examples, benefits, and tools

Behavioral segmentation: Examples, benefits, and tools

In this guide, you'll learn how behavioral segmentation works, explore real-world examples, and discover the tools modern teams use to power it. You'll also learn how RudderStack helps unify behavioral data across your entire stack in real time.

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Data Enablement
Brooks Patterson

Brooks Patterson

Head of Product Marketing

by Brooks Patterson

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

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