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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Build analytic data systems that have modular, reusable components. Build components that are idempotent on data. The top-line result was that 97% of data engineers are feeling burnout. And that code creates complexity.

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Data News — Week 24.20

Christophe Blefari

Next week marks 3 years of this newsletter/blog (yay 🎉 ). Just thank you ❤️ In the recent days I've been working on a new side project. dltHub REST API source toolkit — dlt released a toolkit to build extract and load pipelines on top of custom APIs. This week, we reached 5000 members.

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Data News — Week 24.14

Christophe Blefari

On my side I'll talk about Apache Superset and what you can do to build a complete application with it. This article greatly explained how they did it. Survey about query engines used by companies — Data Council happened recently. In order to boost usage they developed a text-to-SQL feature.

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How to learn data engineering

Christophe Blefari

The idea behind is to solve data problem by building software. This is one of the most synthesized article about data roles. Warning, the article is from an online bootcamp but they summarize pretty well everything. He wrote some years ago 3 articles defining data engineering field. It addresses different use-cases.

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Data News — Week 23.03

Christophe Blefari

Thank you for every recommendation you do about the blog or the Data News. In a nutshell I just want to solve problems and empower people with what I build and I don't care if my stack is a post-modern aquarium, I just want it to be blazingly boring. Summer in coming ( credits ) Hey, new Friday, new Data News edition.

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5 Things you didn’t know about Buck2

Engineering at Meta

To optimize build and performance, we developed our own build system called Buck , which was first open-sourced in 2013. Buck2 is the recently open-sourced successor. In our internal tests at Meta, we observed that Buck2 completed builds approximately 2x as fast as Buck1.

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Data Engineering Weekly #172

Data Engineering Weekly

The article about data asset pricing is one of the comprehensive thoughts I came across about pricing models, establishing two basic factors. The blog compares the two modern-day alternatives for Parquet, Nimble & Lance. This is a long-standing question for both internal data teams and vendors. Register now and join us on May 22nd!

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