Hi @Yahor Sinkevich
Azure Databricks is a data analytics platform optimized for the Microsoft Azure cloud services platform. Azure Databricks offers two environments for developing data intensive applications: Azure Databricks SQL Analytics and Azure Databricks Workspace.
https://learn.microsoft.com/en-us/azure/databricks/scenarios/what-is-azure-databricks
Get started with Azure Databricks SQL Analytics
https://learn.microsoft.com/en-us/azure/databricks/sql/get-started/
Run a Spark job on Azure Databricks Workspace using the Azure portal
https://learn.microsoft.com/en-us/azure/databricks/scenarios/quickstart-create-databricks-workspace-portal?tabs=azure-portal
Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale.
Creating a Synapse workspace
https://learn.microsoft.com/en-us/azure/synapse-analytics/get-started-create-workspace
Apache Spark is a parallel processing framework that supports in-memory processing to boost the performance of big-data analytic applications. Apache Spark in Azure Synapse Analytics is one of Microsoft's implementations of Apache Spark in the cloud. Azure Synapse makes it easy to create and configure a serverless Apache Spark pool in Azure. Spark pools in Azure Synapse are compatible with Azure Storage and Azure Data Lake Generation 2 Storage.
Create a new serverless Apache Spark pool using the Azure portal
https://learn.microsoft.com/en-us/azure/synapse-analytics/quickstart-create-apache-spark-pool-portal
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