Silvano Coriani

Principal Program Manager, Azure SQL Database

Silvano Coriani is a Principal Program Manager in Azure SQL Database team. He has 20+ years' experience in application development and database design, troubleshooting and performance tuning. As self-employed first, and then part of SQL CAT and Azure Data engineering teams, he presented at several industry leading conferences and co-wrote several articles on data related topics.

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Planning new scenarios and use cases for Azure SQL Database local development experience!

At Microsoft Build 2022 we've announced the new Azure SQL Database local development experience to the world. The combination of Visual Studio Code and Azure Data Studio extensions in addition to the new Azure SQL Database emulator for local and offline database development are aimed to significantly improve developers' experience and boost ...

Welcome to the new Azure SQL Database local development experience!

The “inner loop” in software development workflows is the process of writing, building, debugging and testing code, usually on a local workstation or development environment, before sharing it with someone else. In contrast, the “outer loop” kicks off as soon as that code is checked in a source control system from where CI/CD pipelines...

Build GraphQL apps with Hasura and Azure SQL Database

Hasura makes data access easy, by instantly composing a GraphQL API that is backed by databases and services so that the developer team (or API consumers) get productive immediately. The nature of GraphQL itself and Hasura’s dynamic approach makes integration and iteration easy.

Introducing Configurable Retry Logic in Microsoft.Data.SqlClient v3.0.0-Preview1

Over the last few years, we provided guidance on how customers could create their own retry logic or reuse existing libraries aimed to simplify this task for them, We decided to provide a better experience incorporating configurable retry logic capabilities in our client drivers portfolio starting with Microsoft.Data.SqlClient v3.0.0-Preview1.

Optimize storage usage for large volumes of IoT data with Azure SQL

IoT with Azure SQL IoT solutions are generally producing large data volumes, from device to cloud messages in telemetry scenarios to device twins or commands that need to be persisted and retrieved from users and applications. Whether we need to store data in “raw” formats (like JSON messages emitted by different devices), to preserve and...

Ingest millions of events per second on Azure SQL leveraging Shock Absorber pattern

IoT with Azure SQL IoT workloads can be characterized by high rates of input data, on both steady and burst streams, to be ingested from devices. A common design pattern for relational database systems involves a “landing zone” (or staging area) which is optimized for “absorbing the shock” of this high and spikey input rate, before ...

Build your full-PaaS IoT solution with Azure SQL Database

IoT with Azure SQL IoT solutions usually include several components that spans from device communication and management to event processing and data ingestion and analysis. Deploying all these components independently on compute, network and storage based infrastructures can be a complex and time consuming task, but nothing compared to manage...

Running 1M databases on Azure SQL for a large SaaS provider: Microsoft Dynamics 365 and Power Platform.

  Thriving on Azure SQL   Many thanks to our colleagues Mahesh Sreenivas, Pranab Mazumdar, Karthick Pakirisamy Krishnamurthy, Mayank Mehta and Shovan Kar from Microsoft Dynamics team for their contribution to this article.   Overview Dynamics 365 is a set of intelligent SaaS business applications that helps companies...

Go Azure SQL!

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!

JSON in your Azure SQL Database? Let’s benchmark some options!

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...