Begivenhed
17. mar., 23 - 21. mar., 23
Deltag i meetup-serien for at bygge skalerbare AI-løsninger baseret på brugscases fra den virkelige verden sammen med andre udviklere og eksperter.
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Azure offers a choice of fully managed relational, NoSQL, and in-memory databases, spanning proprietary and open-source engines in addition to storage services for object, block, and file storage. The following articles help you get started with Python data solutions on Azure.
PostgreSQL: Build scalable, secure, and fully managed enterprise-ready apps on open-source PostgreSQL, scale out single-node PostgreSQL with high performance, or migrate PostgreSQL and Oracle workloads to the cloud.
MySQL: Build apps that scale with managed and intelligent SQL database in the cloud.
Azure SQL: Build apps that scale with managed and intelligent SQL database in the cloud.
Cosmos DB: Build applications with guaranteed low latency and high availability anywhere, at any scale, or migrate Cassandra, MongoDB, and other NoSQL workloads to the cloud.
Blob storage: Massively scalable and secure object storage for cloud-native workloads, archives, data lakes, high-performance computing, and machine learning.
Azure Data Lake Storage Gen2: Massively scalable and secure data lake for your high-performance analytics workloads.
File storage: Simple, secure, and serverless enterprise-grade cloud file shares.
Redis Cache: Power fast, scalable applications with an open-source-compatible in-memory data store.
Azure Data Lake analytics: A fully managed on-demand pay-per-job analytics service with enterprise-grade security, auditing, and support.
Azure Data Factory: A data integration service to orchestrate and automate data movement and transformation.
Azure Event Hubs: A hyper-scale telemetry ingestion service that collects, transforms, and stores millions of events.
HDInsight: A fully managed cloud Hadoop and Spark service backed by 99.9% SLA for your enterprise
Azure Databricks: A fully managed, fast, easy and collaborative Apache® Spark™ based analytics platform optimized for Azure.
Azure Synapse Analytics: A limitless analytics service that brings together enterprise data warehousing and big data analytics.
Begivenhed
17. mar., 23 - 21. mar., 23
Deltag i meetup-serien for at bygge skalerbare AI-løsninger baseret på brugscases fra den virkelige verden sammen med andre udviklere og eksperter.
Tilmeld dig nuTræning
Læringsforløb
Arbejd med relationsdata i Azure-læringsforløbet - Training
I dette læringsforløb introduceres du til Azure-understøttede SQL-baserede virksomhedsdataløsninger, så du kan gemme og hente din apps data i cloudmiljøet.
Certificering
Microsoft Certified: Azure Data Scientist Associate - Certifications
Administrer dataindtagelse og -forberedelse, modeltræning og udrulning samt overvågning af løsninger til maskinel indlæring med Python, Azure Machine Learning og MLflow.
Dokumentation
Get started with Python on Azure - Python on Azure
A starting point with links to everything a Python developer needs to know about Azure.
Get started developing with Python and Azure using Azure Functions, Azure App Service, Azure Container Apps, Azure Machine Learning, Azure Storage, Azure Database for PostgreSQL, and the Azure SDK for Python.
Create and deploy a Python web app to Azure using an azd template - Python on Azure
Quickstart article featuring the use of an azd template to help you get started with a complete project in 15 minutes.