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Source channel @githubtrending · Post #15397 · Jan 7

#java#cdc#chunjun#dataops#datax#etl#flink#flink_streaming#java TIS is an easy enterprise data integration tool using batch (DataX) and streaming (Flink-CDC, Chunjun) with a simple interface to sync data end-to-end without complex scripts. Its v5.0.0 adds Pipeline AI Agent, letting you describe needs in natural language for auto-pipeline creation, smart plugin installs, and low-cost AI like DeepSeek. Install quickly via single-node, Docker, or K8S. This saves you time, cuts errors, simplifies ETL tasks, and boosts fun, efficient data pipelines for real-time analytics. https://github.com/datavane/tis

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Repositorio data science

@repo_science · Post #3060 · 04/14/2023, 02:38 PM

#rstats#book 📕 Introducción a R: aprendiendo R sin morir en el intento. Libro, en formato web y en español, ideal para aquellos interesados en iniciar el aprendizaje de #R a partir de los tipos de datos y la programación. 🌐ES 🔗Link ----- Canal principal: @repo_science Cupones: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #4107 · 04/25/2024, 12:54 AM

#NYR2024#RStats 🖥 Excited to have Hadley Wickham, Chief Scientist at Posit, speaking at NY R Conference 2024! Dive into the evolution of data science and discover future trends with one of the pioneers in R programming. rstats.ai/nyr.html ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #4109 · 04/26/2024, 12:12 PM

#DataScience#rstats#DataScientist#dataanalysis#r#programming#dataviz#statistics In an era driven by data, harnessing the power of statistics is key to deriving meaningful insights from the vast sea of information around us. pyoflife.com/statistics-wit ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3173 · 05/11/2023, 02:30 PM

#programming#GPT4#GPT3#dataviz#stats#analytics#ML#AI#IA 🚀 Cómo programar más rápidamente en #RStats con #ChatGPT Escribir código es un proceso lento, especialmente cuando estás aprendiendo #datascience por primera vez. ¿Y si pudieras acelerarlo? 🔗Link ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----