Hello @Louis
Thanks for reaching out to us, yes, Azure Machine Learning can be used as a big data development platform. Azure Machine Learning provides a number of features that can help you develop and deploy big data solutions, including:
Data preparation and transformation: Azure Machine Learning provides tools for data preparation and transformation, including data cleaning, feature engineering, and data normalization. You can use these tools to prepare your data for analysis and modeling.
Distributed computing: Azure Machine Learning supports distributed computing using technologies such as Apache Spark and Dask. You can use these technologies to process large datasets in parallel across multiple nodes.
Machine learning algorithms: Azure Machine Learning provides a wide range of machine learning algorithms that can be used for big data analysis, including deep learning algorithms for image and text analysis.
Model deployment: Azure Machine Learning provides tools for deploying machine learning models as web services, which can be used to serve predictions on large datasets in real-time.
Integration with other Azure services: Azure Machine Learning integrates with other Azure services such as Azure Data Factory, Azure Databricks, and Azure HDInsight, which can be used to build end-to-end big data solutions.
If you want to work with Scala and Spark, I would recommend you to read below document - https://learn.microsoft.com/en-us/azure/architecture/data-science-process/scala-walkthrough
It may make more sense to big data development only. If you are willing to share more details about your scenario, we can provide more details about it.
Regards,
Yutong
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