Sun.Apr 16, 2023

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DuckDB vs Polars for Data Engineering.

Confessions of a Data Guy

I was wondering the other day … since Polars now has a SQL context and is getting more popular by the day, do I need DuckDB anymore? These two tools are hot. Very hot. I haven’t seen this since Databricks and Snowflake first came out and started throwing mud at each other. You might think […] The post DuckDB vs Polars for Data Engineering. appeared first on Confessions of a Data Guy.

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Databricks Lakehouse lowers total cost of ownership and enables AI at scale compared to Snowflake

databricks

Key conclusions As an organization's data volume grows, a lakehouse keeps cost low. Organizations require an AI/machine learning platform that is deeply integrated.

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Data Engineering Weekly #127

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. Sign up free to test out the tool today. Editor’s Note: 🚀🌐🎉 Calling all Data Engineering Weekly Readers!

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Interviewing Our Knowledge Lead

Mutt Data

Meet Ale! We’re always looking for new and fun ways to show what working at Mutt Data actually looks like, and then it hit us: Why not ask the Mutters themselves what working at Mutt Data is all about? After all, they’re the ones who make our onboarding , Annual Mutt Day , Trip , and Data Office Hours so memorable. Let’s start off easy, break the ice.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Building Self Serve Business Intelligence With AI And Semantic Modeling At Zenlytic

Data Engineering Podcast

Summary Business intellingence has been chasing the promise of self-serve data for decades. As the capabilities of these systems has improved and become more accessible, the target of what self-serve means changes. With the availability of AI powered by large language models combined with the evolution of semantic layers, the team at Zenlytic have taken aim at this problem again.

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dbt Squared: Leveraging dbt Core and dbt Cloud together at scale

dbt Developer Hub

Teams thrive when each team member is provided with the tools that best complement and enhance their skills. You wouldn’t hand Cristiano Ronaldo a tennis racket and expect a perfect serve! At Roche, getting the right tools in the hands of our teammates was critical to our ability to grow our data team from 10 core engineers to over 100 contributors in just two years.

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