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Data News — Recommendations

Christophe Blefari

That's great because it helps me innovate and pushes me to new horizons every time, but it takes time to assimilate chunks of work in order to produce creative keynotes. Thanks to the time I spend reading content, forging ideas and chatting with all of you, I get inspired and my crazy brain invents things.

Data 130
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Optimizing Materialized Views with dbt

dbt Developer Hub

I was a kitten-only household, and dbt Labs was still Fishtown Analytics. A enterprise customer I was working with, Jetblue, asked me for help running their dbt models every 2 minutes to meet a 5 minute SLA. Together with my team, I created lambda views to meet the need. dbt-bigquery support will be coming in 1.7.

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How to Build a 5-Layer Data Stack

Monte Carlo

Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. New tooling and integrations are created almost daily in an effort to augment and elevate it. Okay, that’s really the last time).

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Data Engineering Weekly #154

Data Engineering Weekly

link] Mercado Libre: How do we structure a data team here at Mercado Libre? I believe there is no one answer to it; the author explores the various organization model and their adoption of Mercado Libre. RudderStack just launched Trino as a Reverse ETL source. Visit rudderstack.com to learn more.

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How to Build a 5-Layer Modern Data Stack (with Example Tools)

Monte Carlo

Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. New tooling and integrations are created almost daily in an effort to augment and elevate it. Okay, that’s really the last time.)

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5 Generative AI Use Cases Companies Can Implement Today

Towards Data Science

The hype around generative AI is real, and data and ML teams are feeling the heat. Across industries, executives are pushing their data leaders to build AI-powered products that will save time, drive revenue, or give them a competitive advantage. Let’s explore how a few key sectors are putting gen AI to use.

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5 Generative AI Use Cases Companies Can Implement Today

Monte Carlo

The hype around generative AI is real, and data and ML teams are feeling the heat. Across industries, executives are pushing their data leaders to build AI-powered products that will save time, drive revenue, or give them a competitive advantage. Let’s explore how a few key sectors are putting gen AI to use.