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Go is a very popular programming language for developing microservices, Web APIs and other server-side applications, and Azure SQL can definitely be an option where to persist data for these applications in a scalable, reliable and modern way leveraging Microsoft SQL Server Driver for Go and ORM packages like Gorm. Give it a try!
Introduction Storing and retrieving data from JSON fragments is a common need in many application scenarios, like IoT solutions or microservice-based architectures. You can persist these fragments can be in a variety of data stores, from blob or file shares, to relational and non-relational databases, and there’s a long standing debate in
A growing number of Azure SQL Database customers are developing new applications in Java using a JDBC driver from Microsoft or a 3rd party. These drivers are providing quite extensive support and covering most of database service capabilities and performance expectations but there are a couple of areas that deserve some attention.
Customers often need to move a dataset from a source system into a new destination, inserting rows that doesn't exist in a target table and update those that already exists. With this technique, we've been able to reduce the time needed to upsert a dataset of 2M rows against a target table with 30M rows from 20 hours to 20 minutes.