Datacenter

This blog talks about how data can be processed in AWS using some of its serverless and API services.

In the ever-changing world of architecture, it's becoming increasingly apparent that traditional roles and responsibilities are starting to merge.

With the help of social media data, we will explore several different aspects of a medicine in this post.

Accelerating the development and adoption of new knowledge and expertise and promoting standardization are common reasons for establishing a CCoE

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. 

In this whitepaper, we present some best practices that can be applied to various Data Migration scenarios to avoid some common pitfalls.

In this blog, I will show you step-by-step of extracting nested JSON data from REST API and loading into Azure Synapse Analytics using Azure Data Factory.

Machine learning is getting more traction. The willingness of companies to use ML models in production for their daily business is growing.

Many believe that testing is not representative when we have not tested with production data. It’s hard to build confidence in a solution if people have not seen it behave correctly with actual production data. But testing with production data is often a bad idea.

In this article, I will show how to use ML.Net (Machine Learning framework for .Net developers) to create an API service that will analyze comments sentiments (e.g. positive or negative sentiment of the comment).

Looking for a way to integrate traditional BI with Advanced Analytics into a single environment? Take a look at Lakehouse, it comes with the good from both Worlds.