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Data News — Week 24.20

Christophe Blefari

Data Council 2024 ✨ Data Council Austin is according to me one of the best conference when it comes to think about the future of data. Every year the talk that are given at DC are always full of quality content. It's available on qrators (can be pronounced curators / creators). And it works for the moment only on desktop.

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Data News — Week 23.16

Christophe Blefari

If this picture had been generated with AI it would have been boring ( credits ) Dear readers, I hope you're doing good. We are close to the second anniversary of the newsletter. Which is crazy. Retrospectively it means that I've written 900 words on average every week for the last 102 weeks. In dbt Core 1.5

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Taking A Look Under The Hood At CreditKarma's Data Platform

Data Engineering Podcast

Summary CreditKarma builds data products that help consumers take advantage of their credit and financial capabilities. To make that possible they need a reliable data platform that empowers all of the organization’s stakeholders. And don’t forget to thank them for their continued support of this show!

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How Backcountry Increases Data Team Efficiency by 30% with Monte Carlo

Monte Carlo

But within the organization, one recent journey required some extra-special gear: the migration from a legacy platform to a modern, cloud-based data stack. The challenge: Migrating to a modern data stack left data quality blind spots Ensuring quality data was always a top priority for Prasad and his team. No easy feat.

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Data News — 2 years anniversary

Christophe Blefari

During my time at Kapten, we built a data stack with Airflow, BigQuery and Metabase + Tableau. I was coming from the Hadoop world and BigQuery was a breath of fresh air. In 2021, I was doing Twitch lives twice a week, every Wednesday I was doing a data news round-up. This is what made me decide to send emails containing my round-up.

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Data News — Week 23.11

Christophe Blefari

On my side I'm slowly starting to get on top of the things I had in queue. But, sadly, I work in LIFO so I feel that I'm never done. For people that are not use to it it means last in, first out. Which means that I get easily disturbed by a notification—or even a thought—and do something that I did not plan to do at first.

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Data Engineering Weekly #129

Data Engineering Weekly

Intuit provides insightful information about performing a set of tests called machine learning model sanity checks in a pre-production environment. Sign up free to test out the tool today. DoorDash identifies Five big areas for using Generative AI. DoorDash writes about its discovery of Generative AI and its application to boost its business.