Raphael Claude

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

[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.

[Raphael Claude @heapoverflow]

My team is looking for a new member to join us and work on building a state of the art data platform !
https://t.co/FnHv20xodj

[Raphael Claude @heapoverflow]

https://t.co/HqbqPTLgcd

[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.

[Raphael Claude @heapoverflow]

Où va la Modern Data Stack ?
C'est le sujet d'une conf qui se tiendra à Criteo le 31 Janvier.
Agenda et inscription =>
https://t.co/4zZ9w2K3Ob

[Raphael Claude @heapoverflow]

I'll talk about "Data pipelines engineering made simple with Scala" at https://t.co/iMOWoSJH2Z conference in Nantes in February

[Steven Le Roux @GwinizDu]

Hey who's in for @ScalaIO_FR 2024 ! hosted by @clever_cloud in Nantes, France! https://t.co/blrqDXgfLL

[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 👇
https://t.co/gJoZRpfKgf
#CriteoDevXDays series 👩‍💻 #DX

[Uber Engineering @UberEng]

We are excited to release Cadence 1.0! Used by many major companies, at @Uber it powers over 1,000 services with 100K+ updates a second. Learn how Cadence makes it easy to build complex distributed systems. @cadenceworkflow

#UberEngineering

read more: https://t.co/ulJg11OR2A

[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 https://t.co/tfACG2zcN6

[Keunwoo Choi @keunwoochoi]

whoa, this is bigger than ChatGPT to me.
google almost solved music generation, i'd say.

https://t.co/s9PQaJ5R6A

[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. 👇
https://t.co/IIzY6CkJ22

[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.

[Raphael Claude @heapoverflow]

@GergelyOrosz Criteo does this too. Self plug =>

[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.

[Raphael Claude @heapoverflow]

Je vais parler data pipelines et librairies Scala ce Jeudi soir. Inscription =>

[ParisScalaUG @ParisScalaUG]

Hello,

pour ce meetup de novembre, rendez-vous le jeudi 24 novembre chez @ContentSquareFR pour deux talks sur:

- Scala steward (par @_AliFirat)

- Le Scheduling de Data pipelines avec Scala (par @heapoverflow)

Les inscriptions c'est par ici:

https://t.co/V8Kkv9FcBn

[ParisScalaUG @ParisScalaUG]

Hello,

pour ce meetup de novembre, rendez-vous le jeudi 24 novembre chez @ContentSquareFR pour deux talks sur:

- Scala steward (par @_AliFirat)

- Le Scheduling de Data pipelines avec Scala (par @heapoverflow)

Les inscriptions c'est par ici:

https://t.co/V8Kkv9FcBn

[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. https://t.co/8LK7X6Yn8e

[Raphael Claude @heapoverflow]

@morel_lang @julianhyde i wonder if extending Morel to include data pipeline scheduling can be a opportunity. Something similar to what has been done in this project

[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.

[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! https://t.co/Wbx4GRha3A

[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.

[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! https://t.co/TqiGF31TiL

[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.