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Maximizing your Azure Databricks deployment

%3CLINGO-SUB%20id%3D%22lingo-sub-865957%22%20slang%3D%22en-US%22%3EMaximizing%20your%20Azure%20Databricks%20deployment%3C%2FLINGO-SUB%3E%3CLINGO-BODY%20id%3D%22lingo-body-865957%22%20slang%3D%22en-US%22%3ELooking%20to%20get%20the%20most%20out%20of%20your%20Azure%20Databricks%20resources%3F%20Whether%20you%E2%80%99re%20new%20to%20Spark%20or%20an%20Azure%20Databricks%20veteran%2C%20attend%20and%20learn%20the%20tips%2C%20tricks%2C%20and%20best%20practices%20for%20working%20with%20Azure%20Databricks.%20Based%20on%20experiences%20with%20real%20industry%20customers%2C%20these%20best%20practices%20cover%20deployments%2C%20management%2C%20security%2C%20networking%2C%20monitoring%2C%20machine%20learning%2C%20and%20more.%20Come%20see%20how%20the%20power%20of%20Azure%20Databricks%E2%80%99%20managed%20Spark%20experience%20can%20benefit%20your%20analytics%20pipeline!%3C%2FLINGO-BODY%3E%3CLINGO-LABS%20id%3D%22lingo-labs-865957%22%20slang%3D%22en-US%22%3E%3CLINGO-LABEL%3EBRK3043%3C%2FLINGO-LABEL%3E%3C%2FLINGO-LABS%3E
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Community Manager
Looking to get the most out of your Azure Databricks resources? Whether you’re new to Spark or an Azure Databricks veteran, attend and learn the tips, tricks, and best practices for working with Azure Databricks. Based on experiences with real industry customers, these best practices cover deployments, management, security, networking, monitoring, machine learning, and more. Come see how the power of Azure Databricks’ managed Spark experience can benefit your analytics pipeline!

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