Showing results for 2020 - Azure SQL Devs’ Corner

Throughout the next seven weeks we'll be sharing a solution to the week's Seasons of Serverless challenge that integrates Azure SQL Database serverless with Azure serverless compute. Learn how to develop an Azure Function that leverages Azure SQL database serverless and TypeScript with Challenge 3 of the Seasons of Serverless challenge.

Azure SQL developers have access to a full-fidelity, highly accurate, and easy-to-use client-side parser for T-SQL statements: the TransactSql.ScriptDom parser. This blog post walks through basic usage, and links to a number of resources for digging deeper.

Serverless Synapse SQL pool in Azure Synapse Analytics is a T-SQL query engine that enables you to read the files placed on Azure storage. You can easily integrate your Azure SQL engine with Synapse SQL to delegate big data analytics and analyze large amounts of data placed on Azure.

Importing a SQL Server backup into an Azure SQL Database is not a trivial task. Here's how to automate the process of converting a .bak to .bacpac file using Docker Containers, Powershell and some automation.

Azure SQL Hyperscale is the latest architectural evolution of Azure SQL, which has been natively designed to take advantage of the cloud. One of the main key features of this new architecture is the complete separation of Compute Nodes and Storage Nodes. This allows for the independent scale of each service, making Hyperscale more flexible and ...

Throughout the next seven weeks we'll be sharing a solution to the week's Seasons of Serverless challenge that integrates Azure SQL Database serverless with Azure serverless compute. Learn how to develop an Azure Function that leverages Azure SQL database serverless with Challenge 1 of the Seasons of Serverless challenge.

Multi-stage pipelines in Azure DevOps offer a rich, declarative, YAML-based mechanism to implement and customize Continuous Delivery for Azure SQL.

Executive summary Our testing shows that Azure SQL Database can be used as a highly scalable low latency key-value store. Starting with a cost-efficient 4-core General Purpose database, we see an order of magnitude increase in workload throughput as we increase dataset size by 100x and scale across the spectrum of database SKUs to a Business Criti...

Just before Ignite, a very interesting case study done with RXR has been released, where they showcased their IoT solution to bring safety in buildings during COVID times. It uses Azure SQL to store warm data, allowing it to be served and consumed to all downstream users, from analytical applications to mobile clients, dashboards, API, and busi...

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 process ...