Linux Gentoo SqlServer Azure SQL Server Debian WSL2 C# Docker k8s
Guatemala City, Guatemala, Guatemala
Microsoft Data Platform MVP Senior Database Administrator MCP
Guatemala SQL User Group community leader,
Cloud Database Engineer.
Experienced in multi-platform databases on RDBMS MS SQL Server, Azure SQL DB, Oracle, MySQL, No SQL experienced in MongoDB as well.
Experienced in large-scale relational databases management support, passionate about K8S and Docker container tech-oriented to development and data platform.
Advanced Linux user, Gentoo distro fan since v.1.4.
In his spare time, Carlos is an enthusiastic swimmer and runner.
In this session we will work on Azure SQL as a data platform working interacting in collaboration with different teams in Azure Devops accelerating value of your workflow. Implementing DevOps practice helps organizations to develop en deliver faster products, maintaining the stability and confidence, increasing confidence in the applications they build, and achieve business goals faster..
In this session we can explore the use of tools and platforms like Visual Studio, Azure Data Studio, Git and Azure DevOps for a modern platform as data ops role using with DevOps practice in Azure SQL.
With the combination of these platforms we can experience the integration of data world into the DevOps culture providing tools for the data engineer to support the process of delivering applications.
In this session, we will apply (WSL) Windows Subsystem on Linux to manage SQL Server on Docker containers interfacing in your local environment.
Overview of the WSL configuration and interfacing between Windows OS host as well as most common libraries in
Overview SQL Server containers demos inside the image prepared as well as the configuration for it.
Have a look for automated scripts created to interact between Linux and windows to perform interfaced tasks.
As technology evolves Windows Subsystem for Linux has too, after many years now we can see that there is a fully integrated cross-platform inside the Windows machine host. Now we are seeing that Docker is now working for the Windows Subsystem for Linux (WSL).
In this session, we will take advantage of this new out-brake to maximize the use of resources and apply this scenario into the SQL Server world with the use of containers. We will manage a containerized SQL Server database and inspect through scripting capabilities between Linux and windows environments working together.
En esta sesión, aplicaremos el subsistema de Windows (WSL) en Linux para administrar SQL Server en contenedores que interactúan completamente en su entorno local para lograr manejar una integración en un escenario statful.
Summary: In this session we will be working with Azure SQL DB, we will be exploring
the use of the compute model serverless. Using the Azure CLI, and the declarative mode we will be
creating, deleting and altering the server and databases. All of this with the help of Visual Studio Code
integrating with different technologies to make SQL Server better.
Goal 1: Provisioning the server with the serverless compute model
Goal 2: Creating and altering db using declarative model through Azure CLI
Goal 3: Creating a client that consumes the database using serverless function built in python
In this session we will be working with Azure SQL DB, we will be exploring serverless model, VSCode, AzureCLI.