Azure Migrations - Part 2
Starting an Assessment with Discovery

The first critical step in migrating anything to Azure is an assessment of what we want to move. The assessment starts with a discovery wherein various aspects of a workload are teased out to expose what composes and supports the workload. These include business drivers, governance drivers, security, and the actual workload itself. In this…

ML & AI for Software Developers - Part 4
Regression Algorithms

Supervised-learning models come in two varieties: regression models and classification models. Regression models predict numeric outcomes, such as the price of a car. Classification models predict classes, such as the breed of a dog in a photo. When you build a machine-learning model, the first and most important decision you make is what learning algorithm…

Azure Migrations - Part 1
Learning Azure

This is the first video in a multi-part series on Azure migrations by Wintellect Architect and Azure MVP Blaize Stewart. In part 1, we will look at an overview of what an Azure migration looks like, including learning, assessing, planning, and executing a migration into Azure. We will then review topics that will help you…

ML & AI for Software Developers - Part 3
Supervised Learning with k-Nearest Neighbors

Most machine-learning models fall into one of two categories. Supervised-learning models make predictions. For example, they predict whether a credit-card transaction is fraudulent or a flight will arrive on time. Unsupervised-learning models don’t make predictions; they provide insights into existing data. The previous post in this series introduced unsupervised learning and used a popular algorithm…

Making Sense of the Power BI Ecosystem

Power BI adoption growth has been astonishing. And with growing demand, we also have growing needs. The service started as an end-user-driven data visualization tool but is now at the enterprise-grade semantic layer. In this session, you will learn more about the major Power BI features and in which use cases to apply them. What…

ML & AI for Software Developers - Part 2
Unsupervised Learning with k-Means Clustering

Machine-learning models fall into two broad categories: supervised-learning models and unsupervised-learning models. The purpose of supervised learning is to make predictions. The purpose of unsupervised learning is to glean insights from existing data. One example of unsupervised learning is examining data regarding products purchased from your company and the customers who purchased them to determine…
New Project

Project Santa Cruz Part 2: Capturing Images to Train a Model

After three very busy weeks of trying to get a few things done on other projects, I had a chance to circle back around for project Santa Cruz, also known as Azure Precept. (If you haven’t read my Part 1 post in this series, check that out. It will give more context to this post.)…

Microsoft Azure for SQL Server Professionals

Lift and shift is a utopia many IT professionals have about moving on-prem resources to the cloud. The truth is you must understand how the cloud works so you can adjust, design accordingly, and deliver to expectations. As SQL DBAs, you have options and can choose between IaaS or PaaS, between SQL in a VM…

Tech on Fire: Azure Container Registry and Container File Systems

Having your own container registry for container images ensures better control over security and quality. Azure Container Registry does this with a turn-key solution with a lot of value-added features. In this video, we’ll look at Azure Container Registry and how container file systems play into making registries work to save time and space.

Atmosera acquires Wintellect, an Atlanta-based software development and training firm

Atmosera Acquires Wintellect to create full-service, world-class offerings on Microsoft Azure Portland, Ore, March 9, 2021 – Atmosera, a Microsoft Gold Partner and leading Microsoft Azure Expert MSP providing Azure services on a global scale, announced today that it has purchased Wintellect, an Atlanta based world-leader in app modernization and development, Azure DevOps, Data and…
Device In The Box

Project Santa Cruz Part 1: Unboxing and First Impressions

I started down the rabbit hole of AI a few years back when the idea of AI was coming to the forefront of computing rather than being relegated to a niche corner. I remember building my first AI models base on the MNIST dataset, which is often used as a benchmark for testing various classification…