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Data News — Week 23.01

Christophe Blefari

You and me celebrating 2023 ( credits ) Happy new year 🎆 For those who were already subscribed at the start of last year I tried to put resolutions and objectives for the year that I did not succeed to follow. On the last 3 days I was teaching DataOps at a French school and I did not manage to find the time to write to you.

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The View From The Lakehouse Of Architectural Patterns For Your Data Platform

Data Engineering Podcast

In this episode Colleen Tartow shares her insights into the motivating factors and benefits of the most prominent patterns that are in the popular narrative; data mesh and the modern data stack. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities.

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Data Engineering Weekly #161

Data Engineering Weekly

4) Building Data Products and why should you? by Aswin James Christy( Qlik/Talend) Aswin establishes a case for why you should start thinking about building data products. Visit rudderstack.com to learn more. There will be food, networking, and real-world talks around data engineering. link] Nvidia: What Is Sovereign AI?

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Building a maintainable and modular LLM application stack with Hamilton

Towards Data Science

Building a maintainable and modular LLM application stack with Hamilton in 13 minutes LLM Applications are dataflows, use a tool specifically designed to express them LLM stacks. Using the right tool, like Hamilton, can sure your stack doesn’t become a pain to maintain and manage. Stack overview. Image from pixabay.

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Data Engineering Weekly #105

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Thank you to everyone who participated in the poll. Sign up free to test out the tool today.

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Why I Am Joining Rockset

Rockset

My passion is building infrastructure that makes things simpler for users, supporting people at higher levels of the stack by giving them clean APIs and predictable behavior. Rockset embodies this philosophy, using sophisticated execution strategies underneath so that you can quickly query the data you already have.

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5 Non-Obvious Ways to Make Data Engineers Love Working For You

Monte Carlo

While it’s never been easy to recruit engineers—period, data engineers are a whole new ballgame. In my opinion, it boils down to two key factors: The s upply of data engineers doesn’t meet demand. In my opinion, it boils down to two key factors: The s upply of data engineers doesn’t meet demand. And for good reason.