27 июня 2019 г.
Data is rarely simple. Not every piece of data we have can fit nicely into a single Excel worksheet of rows and columns. Data has many diverse relationships such as the multiple locations and phone numbers for a single customer or multiple authors and genres of a single book.
24 июня 2019 г.
With the proliferation of patient information from established and current sources, accompanied with scrupulous regulations, healthcare systems today are gradually shifting towards near real-time data integration.
20 июня 2019 г.
We’re excited to share that Forrester has named Microsoft as a leader in The Forrester Wave™: Database-as-a-service, Q2 2019. This decision is based on their evaluation of Azure relational and non-relational databases.
11 июня 2019 г.
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.
3 июня 2019 г.
How do you migrate live, mission-critical data for a flagship product that must manage billions of requests with low latency and no downtime? The Consumer Business Unit at Symantec faced this exact challenge when deciding to shift from their costly and complex self-managed database infrastructure, to a geographically dispersed and low latency managed database solution on Azure.
29 мая 2019 г.
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.
17 мая 2019 г.
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.
16 мая 2019 г.
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.
16 мая 2019 г.
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.
14 мая 2019 г.
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. We believe these capabilities help our customers easily build globally distributed apps at Cosmos scale.