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Join Scott Hanselman every Friday as he engages one-on-one with the engineers who build the services that power Microsoft Azure as they demo capabilities, answer Scott's questions, and share their insights.
Geoff Staneff joins Donovan Brown to show how Data Accelerator for Apache Spark simplifies everything from onboarding to streaming of big data. It offers a rich, easy-to-use experience for creating, editing, and managing Apache Spark jobs on Azure HDInsight while enabling the full power of the Apache Spark engine.
- Microsoft open sources Data Accelerator for Apache Spark
- Data Accelerator for Apache Spark (microsoft/data-accelerator) on GitHub
- Azure HDInsight overview
- Azure HDInsight docs
- Create a free account (Azure)
Gaurav Malhotra joins Scott Hanselman to show how you can run your Azure Machine Learning (AML) service pipelines as a step in your Azure Data Factory (ADF) pipelines. This enables you to run your machine learning models with data from multiple sources (85+ data connectors supported in ADF). This seamless integration enables batch prediction scenarios such as identifying possible loan defaults, determining sentiment, and analyzing customer behavior patterns.Azure Data Factory overviewAzure Data Factory docsAzure Machine Learning overviewAzure Machine Learning docsCreate a free account (Azure)
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