Managed (Automated) Apache Spark Compute in Azure Machine Learning

This video shows how to use managed (automated) Apache Spark compute in Azure Machine Learning for your data wrangling. The Managed (Automatic) Spark compute does not require the creation of resources in the Azure Synapse workspace. Instead, a fully managed automatic Spark compute becomes directly available in the Azure Machine Learning Notebooks. Using a Managed (Automatic) Spark compute is the easiest approach to access a Spark cluster in Azure Machine Learning. ☎️ Do you need any career or technical help? Book a call with me: https://calendly.com/mg_cafe Codes Reference: https://github.com/Azure/azureml-examples/blob/main/sdk/python/data-wrangling/interactive_data_wrangling.ipynb 🔔 Subscribe for more cloud computing, data, and AI analytics videos by clicking on the subscribe button so you don't miss anything. ✅ You can contact me at: LinkedIn: https://www.linkedin.com/in/mohammad-ghodratigohar/ Email: mo.ghodrati95@gmail.com Twitter: https://twitter.com/MG_cafe01 #AzureMachineLearning #ApacheSpark #ManagedSpark #AI #ML #AzureML