Davide Mauri

Principal Product Manager, Azure SQL

I started as a developer, I fell in love with Data and Database, in all their forms. I still have a passion for development (C# and Python). My focus has been databases and performance tuning, focusing both on transactional and analytical workloads. For 5 years I helped developers to get the best out of SQL Server, then I moved to Business Intelligence and Data Warehousing for 10 years. Then I moved to IoT and Big Data for a while. Now back to database space, as Product Manager for Azure SQL Database, helping developers to re-discover SQL, using any platform and any OS.

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Resources to become a Well-Rounded Full-Stack Developer

(image)   If you want to start coding and create your own solutions - be it an App, a Website or something else - or if you want to start a career as developer, you're in luck! There has never been so many and so good training material around, and - even better - available for free. Last addition to the amazing long list of ...

Promises, Node, Tedious, Azure SQL. Oh My!

(image) If you are new to Node.js like I am, using Tedious to access Azure SQL can be challenging at the beginning. My understanding is that Tedious, while being fully asynchronous, doesn't support nor Promises nor the more modern async/await pattern. Tedious, in fact, uses events to execute asynchronous code and so a bit of work is...

TodoMVC Full Stack with Azure Static Web Apps, Node and Azure SQL

TodoMVC is a very well known (like ~27K GitHub stars known) application among developers as it is a really great way to start to learn a new Model-View-Something framework. It has plenty of samples done with different frameworks, all implementing exactly the same solution. This way is very easy to compare them against each other and see ...

Fast loading data into Azure SQL: a lesson learned.

(image) I'm preparing a series of post and samples on how to properly load data into Azure SQL using Azure Databricks / Apache Spark that I will start to publish very soon, but I realized today that there is a pre-requisite that in many cases, especially by developers new to the data space, is overlooked: good table design. Wait! If you'...

Serverless REST API with Azure Functions, Node, JSON and Azure SQL

Javascript / Typescript (and thus Node) are, among Full-Stack and Back-End developers, one of the most common choices to create scalable, elegant, high-performance, REST API to be used by the most diverse clients. Azure Functions are another pretty popular solution that developers use to create scalable solution without having to deal with all...

Practical Azure SQL Database for Modern Developers

Practical Azure SQL Database for Modern Developers: a book to learn how to take advantage of the all the breakthrough technologies available in Azure SQL like columnstore, in-memory lock-free tables, row-level-security, graph and geospatial support to create modern, scalable and secure applications.

Azure SQL & .bacpac the easy way

Restoring an Azure SQL database in one - well three - simple scripts: one with Powershell, one with AZ CLI + Bash and one using the ubiquitous SqlPackage

Azure SQL for Beginners – Video Playlist

Easily translate your SQL Server skills and experience to Azure SQL - using familiar tools and techniques. Insiders Bob Ward and Anna Hoffman walk you through configuring, monitoring, and troubleshooting database security, performance, and availability in this Azure SQL video series on more than 60 topics.

Architecting REST API with Python, Flask and Azure SQL

Creating REST API with Azure SQL is never been easier thanks to its native JSON support. Let's see how we can use Python and Flask to create an elegant and modern solution to serve REST API to the world

Querying and visualizing data using SQLPad

SQLPad is an amazing free, open source, tool to run SQL Queries against a broad spectrum of popular databases, without the need to install and run something on-premises. It's lightweight, simple and just perfect if you need a no-frills tool to query and visualize data, to do some data exploration.