title	description	ms.date	ms.topic	ms.custom
Getting started with data solutions for Python apps on Azure	Index of getting started material in the Azure documentation for data solutions for Python apps.	05/28/2020	conceptual	devx-track-python

Data solutions for Python apps on Azure

The following articles help you get started with various data solutions on Azure.

SQL databases

• PostgreSQL:

  • Use Python to connect and query data in Azure Database for PostgreSQL
  • Run a Python (Django or Flask) web app with PostgreSQL in Azure App Service

• MySQL:

  • Use Python to connect and query data with Azure Database for MySQL

• Azure SQL:

  • Use Python to query an Azure SQL database

• MariaDB:

  • How to connect applications to Azure Database for MariaDB

Tables, blobs, files, NoSQL

• Tables and NoSQL:

  • Build a Table API app with Python and Azure Cosmos DB
  • Build a Python application using an Azure Cosmos DB SQL API account
  • Build a Cassandra app with Python SDK and Azure Cosmos DB
  • Create a graph database in Azure Cosmos DB using Python and the Azure portal
  • Build a Python app using the Azure Cosmos DB API for MongoDB

• Blob and file storage:

  • Manage Azure Storage blobs with Python
  • Develop for Azure Files with Python

• Redis Cache:

  • Create a Python app that uses Azure Cache for Redis

Big data and analytics

• Big data analytics (Azure Data Lake analytics):

  • Manage Azure Data Lake Analytics using Python
  • Develop U-SQL with Python for Azure Data Lake Analytics

• Big data orchestration (Azure Data Factory):

  • Create a data factory and pipeline using Python
  • Transform data by running a Python activity in Azure Databricks

• Big data streaming and event ingestion (Azure Event Hubs):

  • Send events to or receive events from event hubs by using Python
  • Event Hubs Capture walkthrough: Python
  • Capture Event Hubs data in Azure Storage and read it by using Python

• Hadoop (Azure HDInsights):

  • Use Spark & Hive Tools for Visual Studio Code

• Spark-based analytics (Azure Databricks):

  • Connect to Azure Databricks from Excel, Python, or R
  • Run a Spark job on Azure Databricks using the Azure portal
  • Tutorial: Azure Data Lake Storage Gen2, Azure Databricks & Spark