Apache Wayang isn’t just limited to FedML and Data Federation; it also enhances our taste and lifestyle. Solving real world data science problems!
https://t.co/EndvJUCuaR
@mapredit Thank you, and all other committers and contributors to make this happen. Over four years research, testing, coding. FedAI is coming! Open source always wins.
@apachewayang v. 1.0.0 successfully compiled. The backbone for ASI / AGI infrastructure, devs can now reach data which is typically not in reach, like protected silos, and execute processing at the source, in-situ. FedAI is coming soon!
LLM's struggle to show their business benefit. Why? Data access. AI needs the right data, in a suitable format at the right time. Read how @apachewayang helps to solve that: https://t.co/NiRUbnSr45
Our newest blogpost, written by Wayang developer Juri Petersen, explains how python works with Apache Wayang, and how we enable JSON conform UDF within a wayangPlan. #data#opensource#apachewayang
https://t.co/P9hU3Oi6ra
Read part 1 of the blog series, written by Dr. Mirko Kämpf from ecolytiq, about implementing a cross-organization decentralized data processing scenario. #apachewayang#kafka#data
https://t.co/XIJsaqX9uT
Apache Wayang now enables AI/ML training and inference in Spark for federated learning at the enterprise level. The team just merged PR388: https://t.co/Q7iLT3wkdf
We merged 380: #380 Added a new plugin to support different jdbc platforms and multiple instances of same DBMS. Wayang now adds support for multiple spark and jdbc context in one wayangPlan().
https://t.co/L9LsTvWf2q
Now you can run kmeans natively on sparkML! This improvement speeds ML operations massively up. Additionally, with wayang you can have multiple _different_ spark version in one plan, that makes wayang really powerful for cross-spark ML.
https://t.co/kiYS6edmOx
Wayang AgoraEO Plugin: The Framework for Scalable EO Workflows
"We recently proposed AgoraEO, a decentralized, open, and unified ecosystem, where users can find EO elements, compose cross-platform EO pipelines, and execute them efficiently.
https://t.co/ETYDN88Ekx
#CommunityOverCode NA, our flagship event, is only TWO MONTHS away! Join us in Halifax 🇨🇦 for four days of sessions, with tracks focusing on Search, Big Data, Streaming, IoT, Community, Fintech, and more.
🎟️ Register now! https://t.co/cF3gWLPgok
#DynamicPartitioning in Apache Doris
It means to automatically create and delete data partitions based on the user-specified rules. You can enable it upon data creation and specify the partition TTL (time to live) in the statement.
#database#DataScience#Analytics#SQL