Microsoft FHIR Server for Azure extends to SQL
Since the launch of the open source FHIR Server for Azure on GitHub last November, we have been humbled by the tremendously positive response and surge in the use of FHIR in the healthcare community.
Since the launch of the open source FHIR Server for Azure on GitHub last November, we have been humbled by the tremendously positive response and surge in the use of FHIR in the healthcare community.
One of the largest gatherings of healthcare IT developers will come together on the Microsoft campus next week for HL7 FHIR DevDays, with the goal of advancing the open standard for interoperable health data, called HL7® FHIR® (Fast Healthcare Interoperability Resources, pronounced “fire”).
Improving patient outcomes and reducing healthcare costs depends on healthcare providers such as doctors, nurses, and specialized clinician ability to access a wide range of data at the point of patient care in the form of health records, lab results, and protocols.
How do you migrate live, mission-critical data for a flagship product that must manage billions of requests with low latency and no downtime?
Understand the underlying factors that can cause performance differences between Azure SQL Database managed instance and SQL Server and the steps you can take to make fair comparisons between SQL Server and Azure SQL Database.
Read how governments can benefit from Azure, get the latest on Azure Kubernetes service, and learn how IoT helps supply chains.
News and updates from Azure SQL Database Edge, Azure portal updates, and Azure Cosmos DB.
Optimizing compute resource allocation to achieve performance goals while controlling costs can be a challenging balance to strike especially for database workloads with complex usage patterns. SQL Database serverless automatically scales compute based on workload demand and bills for compute used per second.
This post is part of a 2-part series about how organizations are using Azure Cosmos DB to meet real world needs, and the difference it’s making to them. In this post, we’ll examine additional implementation details and the outcomes resulting from the team’s efforts.
This post is part of a 2-part series about how organizations are using Azure Cosmos DB to meet real world needs, and the difference it’s making to them.
In Craig Kerstiens‘s latest blog post, “A health check playbook for your Postgres database” he emphasizes the need for periodic checks for your Postgres databases to ensure it’s healthy and performing well.
At Microsoft Build 2019 we announced exciting new capabilities, including the introduction of real-time operational analytics using new native support for Apache Spark and a new Jupyter notebook experience for all Azure Cosmos DB APIs.