AWS – Amazon EMR Studio now supports multi-language Jupyter-based notebooks for Spark workloads
EMR Studio is an integrated development environment (IDE) that makes it easy for data scientists and data engineers to develop, visualize, and debug big data and analytics applications written in R, Python, Scala, and PySpark. Today, we are excited to announce that from EMR 6.4.0 and later, you can use Python, Scala, SparkSQL, and R within the same Jupyter notebook in EMR Studio, providing flexibility to use different programming languages for Spark workloads.
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