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 Why Azure Databricks?  Since Azure Databricks is a cloud based service, it has several advantages over traditional Spark Clusters. Let us look at the benefits of using Azure Databricks. > Optimized Spark Engine : Data processing with Auto-scaling and Spark optimized for up to 50x performance gains. > Machine Learning: Pre-configured environments with frameworks such as PyTorch, TensorFlow and sci-kit learn installed. > Mlflow : Track and share experiments, reproduce runs and mange models collaboratively from a central repository. > Choice of Language : Use your preferred language, including Python, Scala, R, Spark SQL and .Net -- whether you use serverless of provisioned compute resources. > Collaborative Notebooks : Quickly access and explore data, find and share new insights and build models collaboratively with the language  and tool of your choice. > Delta Lake : Bring data reliability and scalability to your existing data lake with an open source transactional