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Beyond AI chatbots: how we tripled engagement with Deepnote AI

By Gabor Szalai

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Updated on April 3, 2024

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How to effectively prompt Deepnote AI

By Ondřej Romancov

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Updated on March 26, 2024

Latest releases

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One team, infinite outputs: how Ramp achieves data platform optimization

Transforming raw data into business value is a tall order. Find out how Ramp helps its data platform team deliver with Deepnote.

By Eric Wendt

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Updated on March 7, 2023

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How data teams collaborate (& what's standing in the way)

Data collaboration comes in many forms — and with many challenges. Learn how data teams can break down collaboration barriers with the right tools and tactics.

By Jakub Jurovych

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Updated on March 6, 2023

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The good, the bad & the ugly: how to share Jupyter notebooks

Sharing is caring when it comes to data analysis. Check out your options for sharing Jupyter notebooks — and the pros and cons of each.

By Eric Wendt

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Updated on February 20, 2023

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From insights to outcomes: how Gusto democratizes data analytics

Visibility and accessibility are key to driving results. Find out how Gusto centralized its analytics workflows and empowered all team members with Deepnote.

By Eric Wendt

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Updated on February 7, 2023

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3 data smells that mean you need a Jupyter notebook alternative

Well-known isn’t the same as best-in-breed. Find out which signals suggest it’s time to explore a Jupyter notebook alternative.

By Eric Wendt

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Updated on February 6, 2023

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Smarter, faster, better: introducing interactive exploration & other power-ups to Deepnote charts

Data visualization is about so much more than painting static pictures. See how Deepnote’s no-code charting experience brings you closer to your data.

By Gabor Szalai

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Updated on February 2, 2023

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How teams use notebooks to power data exploration

Modern notebooks are built for data exploration. Here’s how leading data teams use them to supercharge exploratory analysis.

By Eric Wendt

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Updated on January 24, 2023

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Exploratory programming: what it is, why it matters & what it requires

Exploring data isn’t the same as developing software. Learn why data teams should embrace tools built for exploratory programming.

By Jakub Jurovych

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Updated on January 23, 2023

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Minimum viable (data) product: how Slido brings a product mindset to analytics engineering

Delivering business-friendly metrics isn’t always easy. Find out how Slido conquered the challenges with Deepnote and dbt.

By Eric Wendt

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Updated on January 10, 2023

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Explore, collaborate, share: how Webflow optimizes data workflows

Teamwork makes the dream work. Find out how Webflow overcame collaboration challenges inside and outside its data team with Deepnote.

By Eric Wendt

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Updated on January 3, 2023

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