R (Programming Language) in Microsoft Fabric - An Insightful Overview with Fabric Product Group

🌟 Welcome to the latest episode of our Fabric Espresso series, where we delve deep into the world of Data Engineering, Data Science, and Real-Time Analytics, all within the Microsoft Fabric ecosystem.
👨‍💻 Today, we're thrilled to have Ruixin Xu, a Senior Product Manager from the Microsoft Fabric Data Science team, join us. With her extensive expertise, Ruixin is at the forefront of integrating AI services into Fabric and spearheading the support for the R programming language.
🚀 In this episode, we explore the robust capabilities of R within Microsoft Fabric. For data science enthusiasts and professionals, this is a not-to-miss conversation! We'll cover:
Built-In R Support: Discover how Microsoft Fabric enhances your data analysis and modeling with its built-in R support for Apache Spark.
SparkR & Sparklyr Integration: Learn about the seamless integration of SparkR and sparklyr, enabling users to interact with Spark using both familiar Spark and R interfaces.
Data Analysis Made Easy: Get insights into how you can analyze data using R through Spark batch job definitions or interactive Microsoft Fabric notebooks.
📊 Whether you're new to data science or a seasoned expert, this episode will give you a comprehensive overview of R language support in Microsoft Fabric and how it's revolutionizing data analysis and integration.
🎙 Meet the Speakers:
👤 Guest from Microsoft Fabric Product Group: Ruixin Xu, Senior Product Manager at Microsoft. Ruixin Xu is a product manager from Microsoft Fabric Data Science team, who is driving both the AI services in Fabric and the R language support.
LinkedIn: / ruixinxu
Twitter: / ruixinxu
👤 Host: Estera Kot, Senior Product Manager at Microsoft
LinkedIn: / esterakot
Twitter: / estera_kot
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[@baratreum]

Where can I find the reference for reading and writing a) lakehouse tables b) lakehouse files with R code ? Thanks!

[@gauravdevgan79]

does it provide comparable features as offered by shiny app ?