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    Avatar

    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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    Post by this author

    Optimize storage usage for large volumes of IoT data with Azure SQL
    Optimize storage usage for large volumes of IoT data with Azure SQL
    October 12th, 2020
    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...

    Comments are closed.0Azure SQLIoT
    Ingest millions of events per second on Azure SQL leveraging Shock Absorber pattern
    Ingest millions of events per second on Azure SQL leveraging Shock Absorber pattern
    October 12th, 2020
    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 ...

    2Azure SQLIoT
    Build your full-PaaS IoT solution with Azure SQL Database
    Build your full-PaaS IoT solution with Azure SQL Database
    October 12th, 2020
    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...

    Comments are closed.0Azure SQLIoT
    Running 1M databases on Azure SQL for a large SaaS provider: Microsoft Dynamics 365 and Power Platform.
    Running 1M databases on Azure SQL for a large SaaS provider: Microsoft Dynamics 365 and Power Platform.
    October 8th, 2020
      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...

    Comments are closed.0Azure SQL
    Go Azure SQL!
    Go Azure SQL!
    June 16th, 2020
    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!

    Comments are closed.0Azure SQL
    JSON in your Azure SQL Database? Let’s benchmark some options!
    JSON in your Azure SQL Database? Let’s benchmark some options!
    June 10th, 2020
    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...

    Comments are closed.0Azure SQL
    Improve JDBC application reliability with Azure SQL and connection pooling
    Improve JDBC application reliability with Azure SQL and connection pooling
    June 4th, 2020
    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.

    2Azure SQL
    Optimize Azure SQL Upsert scenarios
    Optimize Azure SQL Upsert scenarios
    May 28th, 2020
    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. 

    Comments are closed.0Azure SQL
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