Raphael Claude

806 posts

Raphael Claude

Raphael Claude

@heapoverflow

Data Reliability Engineer. (Re)Tweets: JVM/Scala/Java, SQL, Databases, Functional programming. Likes: climate, energy, sustainability, society, misc.

France Katılım Nisan 2011
239 Takip Edilen139 Takipçiler
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Raphael Claude
Raphael Claude@heapoverflow·
The last 3+ years with my teammates we've been busy working on a platform for creating, evolving and operating data pipelines. I learned lots of stuff about data here and think what we've done is particularly interesting, so i'm happy we took some time to share our story.
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Raphael Claude
Raphael Claude@heapoverflow·
Avec Miguel Liroz on présentera comment Criteo a rationalisé l’expérience de travail sur la data en consolidant tous ces besoins dans une solution intégrée de bout en bout.
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Raphael Claude
Raphael Claude@heapoverflow·
I'll talk about "Data pipelines engineering made simple with Scala" at scala.io conference in Nantes in February
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Criteo Tech
Criteo Tech@CriteoEng·
How do we follow the "Continuous Delivery" approach for our data pipelines? 🤔 Check out our latest article to discover how our platform, BigDataFlow, provides static analysis and a CLI tool to make #CD without incidents 👇 medium.com/criteo-enginee… #CriteoDevXDays series 👩‍💻 #DX
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Demis Hassabis
Demis Hassabis@demishassabis·
Our latest work in @Nature today: #AlphaDev discovered a new faster sorting algorithm that we open sourced to the main C++ library for all developers to use. This is just the beginning of AI being used to find many more efficiencies in code in future dpmd.ai/alphadev-tw
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Karen Hao
Karen Hao@_KarenHao·
China is pushing ahead in AI regulation—again. This time on deepfakes and generative AI more broadly, including AI-powered image, audio and text-generation software. Here's why the world should pay attention. 👇 wsj.com/articles/china…
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Raphael Claude
Raphael Claude@heapoverflow·
@GergelyOrosz It’s also good for engineering quality: blog posts are a way to compare technical choices and have cross-pollination between engineering teams tackling similar issues in different organisations.
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
To be clear, this is a fantastic mid- and (especially) long-term strategy. Think in the span of 6-24 months to see results. The short term it doesn’t work. Which is probably why most places give up on it. But eg there’s a reason Cloudflare barely has an eng sourcing function…
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
An underrated way to attract great engineers to your company (drumroll) Have a great engineering blog. This means ENGINEERS write the blog, not content writers. And they give the "real deal" about challenges, learnings, failures. So few companies do this. A few that do:
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Raphael Claude
Raphael Claude@heapoverflow·
“The Code base […] is significant. We still do massive refactoring […] with ease and take this opportunity to thanks the scala ecosystem at large and the authors of the libraries that we use”: @typelevel folks and also @li_haoyi for fastparse. medium.com/criteo-enginee…
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Raphael Claude
Raphael Claude@heapoverflow·
With a good level of abstraction a data platform can provide big productivity gains in an organization that manages a large variety of evolving data. We share our experience and some numbers in the last post introducing BigDataFlow! link.medium.com/Oe6RlzkOMrb
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Raphael Claude
Raphael Claude@heapoverflow·
In this data platform a parser and interpreter for a SQL dialect (with an extension for scheduling) is implemented. In Part 2 we detail the key ideas that lead to such a design decision! medium.com/criteo-enginee…
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Raphael Claude
Raphael Claude@heapoverflow·
The last 3+ years with my teammates we've been busy working on a platform for creating, evolving and operating data pipelines. I learned lots of stuff about data here and think what we've done is particularly interesting, so i'm happy we took some time to share our story.
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Raphael Claude retweetledi
Martin Odersky
Martin Odersky@odersky·
Exciting news: We are starting a large scale research project to develop a universal theory of resources and effects based on capabilities.
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