Enterprise-grade data lineage is essential for modern data management, powering discovery, governance, optimization, and AI readiness. It transforms static diagrams into a living system.
Author
Jenny Salem
Product Marketing at Euno
Head of Product Marketing at Euno. With over 15 years of experience leading marketing teams across startups and enterprises, Jenny brings a rare blend of strategic vision and technical insight. Her roots in cybersecurity and DevOps give her a deep understanding of how data engineering teams work. At Euno, Jenny is focused on transforming the way modern data teams govern and manage data, especially as AI becomes an integral part of the analytics landscape.
Latest blog posts by Jenny Salem
Learn how to transform metadata into an actionable foundation for governance and AI readiness when using Tableau and dbt.
Discover the top 8 active metadata management tools in 2025 to govern and manage data.
Euno now lets you create custom properties based on your own logic.
Explore how Active Metadata Management can help you quickly trace data errors and improve the reliability of your business insights.
You’ve got an AI-driven analytics initiative. Before AI can deliver trusted insights, there’s a fundamental question you need to answer: Are your data assets ready?
Data governance sets the intent and policies for trusted data use, while data management ensures they're followed. AI now bridges the gap by automating compliance.
With Euno as a native app on Snowflake, our customers can leverage deep metadata across data and BI layers to drive data democratization, without compromising governance.
Though playful on the surface, FDC takes a hard look at the core practices data professionals often take for granted.
97% of data leaders face challenges using the data effectively. The reason? A lack of trust. And now, generative AI is making this problem worse.
Avoid metric confusion and build trust by centralizing key business metrics in a semantic layer—your single source of truth.
Euno's CEO and data leader Sarah Levy reveals the true challenge of analytics in organizations (hint: it’s not the tech, it’s the people).
Explore the challenges of data governance, the role of semantic layers in ensuring data trust, the emergence of analytics engineers and much more.
Expert panelists share best practices for scaling dbt to handle transformations and metrics without stifling analyst freedom or causing team burnout.
Analyst freedom is not the problem of poor data model governance but part of the solution. Learn how to balance both.
Tableau vs. dbt: It doesn't have to be a showdown. Learn a framework that helps analysts and engineers work better together.
Learn how to centralize metrics with a data modeling tool like dbt, and streamline the process with Euno.
The push for data governance is not just nice-to-have. It's a necessity for trustworthy insights. This becomes very apparent when using Tableau.
Meet new Euno advisory board member Mark Nelson
GenAI is transforming the landscape of automated data analysis and SQL query optimization. But what about data modeling and governance?
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