Azure

We always rush to create our Azure landing zone with compliance, security standards, and best practices but at the same time, we need to start thinking about Sustainability.

Here's a preview solution that comes to make life easier for organizations that want to modernize their data warehouses by moving them to the Microsoft Cloud.

The title presents two components that sound very similar, although each one has certain unique characteristics and it is thanks to them that they allow a very wide scope of use cases to be covered. 

Here are some great tips on how to fix ‘Ghosts in the Azure DevOps machine’

Efficient data storage is one of the key pieces when drawing up your organization's strategy, and solutions such as Azure Data Lake allow you to comply with current best practice recommendations regarding data architecture.

In this post I want to cover how you can keep your Azure Synapse secrets secret in GitHub. Because you need to do this if you are working with sensitive information in GitHub.

Read this blog to learn more about an automated way to migrate an Azure Data Factory pipeline to an Azure Synapse Analytics workspace using Azure DevOps

In this whitepaper, we are going to discuss different ways of switching between the two versions using different objects of Kubernetes.

In this post, I want to share an alternative way to copy an Azure Data Factory pipeline to Synapse Studio. Because I think it can be useful.

I want to cover one way you can do CI/CD for Azure Synapse Analytics serverless SQL pools using Azure DevOps in this post. Because I know it is a popular topic.

In the next posts I am going to delve into an Azure component that is becoming more and more important…

The SQL engine has always been present in the core component of Microsoft's Data architecture, initially as Azure SQL Data…