Maxime Cottret @aolwas
Dataops @Easy_Mile. Interests in Sciences, HighTech, Music, Sports, Food&Drinks, BoardGames, ... soundcloud.com/maxime-cottret Toulouse Joined November 2010-
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Oh wow, S3 now finally supports conditional writes: aws.amazon.com/about-aws/what… No more client side consensus nonsense! The #rustlang object store crate had to use Dynamo for this while the other cloud object stores had it built in. Time to update crates.io/crates/object_…
DataFusion 40.0.0 release announcement: datafusion.apache.org/blog/2024/07/2…
We're open sourcing #UnityCatalog! @matei_zaharia will be sharing more in tomorrow's keynote.
We're excited to announce the general availability of #DeltaLake 3.0. This groundbreaking release of the renowned #opensource @DeltaLakeOSS project unifies lakehouse storage formats and gives users flexibility and control over their data. Learn more: hubs.la/Q025ZCrj0
Ruben has written about his story combining @condaproject packages with @rosorg in production. Pixi is by far the fastest way to get going with ROS on macOS, Windows and Linux: prefix.dev/blog/pixi_ros
Seriously, you don’t need to be a rocket scientist to have predicted this. opentf.org
📢 Les meetups Toulouse DevOps reprennent le 25 mai avec une soirée dédiée DevSecOps avec des interventions de @stack_labs et @jfrog avant de partager quelques pizzas pour échanger et se retrouver 🎉 . Inscriptions sur meetup: meetup.com/fr-FR/toulouse… #meetup #devsecops #devops
Row Based vs Column Based File Format Here is a short summary: 𝗥𝗼𝘄 𝗕𝗮𝘀𝗲𝗱: ➡️ Rows on disk are stored in sequence. ➡️ New rows are written efficiently since you can write the entire row at once. ➡️ For select statements that target a subset of columns, reading is slower since you need to scan all sets of rows to retrieve one of the columns. ➡️ Compression is not efficient if columns have different data types since different data types are scattered all around the files. 👉 Example File Formats: 𝗔𝘃𝗿𝗼 ✅ Use for 𝗢𝗟𝗧𝗣 purposes. 𝗖𝗼𝗹𝘂𝗺𝗻 𝗕𝗮𝘀𝗲𝗱: ➡️ Columns on disk are stored in sequence. ➡️ New rows are written slowly since you need to write fields of a row into different parts of the file. ➡️ For select statements that target a subset of columns, reads are faster than row based storage since you don’t need to scan the entire file. ➡️ Compression is efficient since different data types are always grouped together. 👉 Example File Formats: 𝗣𝗮𝗿𝗾𝘂𝗲𝘁, 𝗢𝗥𝗖 ✅ Use for 𝗢𝗟𝗔𝗣 purposes. -------- Follow me to upskill in #MLOps, #MachineLearning, #DataEngineering, #DataScience and overall #Data space. Also hit 🔔to stay notified about new content. 𝗗𝗼𝗻’𝘁 𝗳𝗼𝗿𝗴𝗲𝘁 𝘁𝗼 𝗹𝗶𝗸𝗲 💙, 𝘀𝗵𝗮𝗿𝗲 𝗮𝗻𝗱 𝗰𝗼𝗺𝗺𝗲𝗻𝘁! Join a growing community of Data Professionals by subscribing to my 𝗡𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿.
Internship opening in my team at @Easy_Mile to develop custom geospatial visualizations in @apachesuperset (@reactjs/@ThePSF): welcometothejungle.com/en/companies/e…
Delta Lake released a new blog sharing everything you need to know about the release of Delta Lake 2.0, which reiterates their collective commitment to the open-sourcing of Delta Lake! Read the blog here: hubs.la/Q01jzJfy0 #DeltaLake #OpenSource @DeltaLakeOSS
I'm looking for a DataOps Eng to consolidate my team. More details here or in DM: welcometothejungle.com/en/companies/e…
🔥 Check out Argo Workflows v3.3 release! Plugin templates, workflow hooks, debug pause, SSO+RBAC namespace delegation, new SDKs, and more! 🚀 The new Python SDK is now part of the release process to ensure that it's always up-to-date and fully featured! blog.argoproj.io/whats-new-in-a…
Hiring Alert!⚠️ We're looking for highly motivated people to build the road ahead & invent solutions to challenges never met before. Beyond technical skills, we're looking for ambition, creativity & drive. ow.ly/82Hr50HzNMy Join us & shape the future of #Mobility!
New year, new you? Try a fresh start in #Tech. #EasyMile is recruiting a variety of positions! From internships to longterm contracts. Join a dynamic and innovative software company, where team spirit & creativity are key words! Apply here: ow.ly/jFN050HojuF #iciçarecrute
We're excited to announce #DeltaLake 1.1 release on @ApacheSpark 3.2 with performance improvements and support for generated columns in #merge operations, support for arbitrary expressions in replaceWhere, #python type annotations, and more! github.com/delta-io/delta…
We're happy to announce the 0.5.4 release of #DeltaLake Rust API #python bindings which includes #azure crates, clean up of expired table commits after checkpoints, updated #rustlang and @apachearrow editions github.com/delta-io/delta…
There's a lot of great functionality in #ApacheSpark 3.2, which just came out. #pandas API on Spark, RocksDB state store for streaming, and adaptive query execution are some of the highlights. Read our summary here: databricks.com/blog/2021/10/1…
One of the cool features coming in @ApacheSpark 3.2 is session windows for Structured Streaming, making it easier to analyze variable-length behaviors. It's very easy to use: databricks.com/blog/2021/10/1…
Apache Spark 3.2 will include a new #pandas API based on the Koalas open source project. We were thrilled to see Koalas exceed 20% of #PySpark downloads and see the @ApacheSpark community merge it into the main project. databricks.com/blog/2021/10/0…
Happy to announce #deltasharing - an open standard for secure data sharing delta.io/sharing/ #DeltaLake cc @databricks
François Massot 🦀 @FrancoisMassot
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CloudLightning @_cloudlightning
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Free IPhone Money @freestuffapple
221 Followers 538 Following Get Free Products Free Apps Free Money through app Earn Money Freely
David Sciamma @dsciamma
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Ambroise @Atvaark
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Arroyo @ArroyoSystems
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Simon Späti 🏔️ @sspaeti
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Protomaps https://bsk... @protomaps
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