Seamlessly Migrate Your On-Premise Data Pipeline to Azure with These Key Steps

Scaling AI/ML Data Needs: Migrating On-Premise Data Engineering Workloads to Azure Cloud

Today, many groups see the worth of moving their data setups from their own sites to the cloud. Azure, made by Microsoft, offers a strong and wide-reaching stage for data jobs. This write-up aims to give a clear and comprehensive guide for moving a data system, built on Cloudera, over to Azure. We will look into the main points to think about, the problems one might face, and the best ways to go about this move.

Lift and shift to HDInsight: For more information, see Lift and shift to HDInsight. Lift and shift to IaaS: For more information, see Lift and shift to Azure infrastructure as a service . Replatform by using Azure PaaS: For more information, see Modernize by using Azure Synapse Analytics and Databricks . Replatform by using Azure PaaS: Modernize by using Azure Synapse Analytics and Databricks Lift and shift to HDInsight: For more information, see Lift and shift to HDInsight .

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