Microsoft Azure for SQL Server Professionals: Get Your Head in the Cloud

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…

Azure Tagging and Policy: A Match Made in the Cloud

Azure provides a rich, out of the box experience for enforcing roles and access to Azure. Sometimes, however, these controls are not enough, and this is where Azure Tagging and Azure Policy come into play. With Tagging and Policy tools, you can enforce rules and apply organization to resources, resource groups, and subscriptions. In this…

Azure Synapse Analytics and the Modern Data Warehouse

As part of your cloud migration, the challenge of gathering Business Intelligence is amongst the most significant transformations being faced by companies today. The value of gaining insights from your data cannot be understated, and the techniques are changing and shifting. Join Derrick So’Brien, Senior Microsoft Instructor and Azure advocate, as we look at the…

.NET Modernization through Azure Services

A move to the cloud represents one of the largest technology shifts faced by any organization. As changes occur, many are being forced to rebuild their applications and make them “future proof.” Some of the barriers to cloud adoption are just a matter of perception. In this webinar, you can get a taste of the…

Architecting Data Storage Solutions with Cosmos DB

Cosmos DB provides a multi-model database for building highly responsive, scalable applications. The key to getting the most out of Cosmos DB is understanding how to design a database that can take advantage of the platform. In this session, you will learn the basics of the platform, the secrets to effective data models, and how…

GitHub and Azure DevOps – Better Together

With Microsoft acquiring GitHub, many teams struggle to understand whether to adopt GitHub or Azure DevOps, especially if there’s already an investment in Azure DevOps or Team Foundation Server (TFS). There is a third option that is often overlooked – the platforms are better together! Join Ken Muse, an ALM | DevOps Ranger, to learn…

Understanding Azure Kubernetes Service (AKS) Storage

Kubernetes can integrate with several storage options available on Azure, including Azure Files, Blob Storage, and Azure Disks from Microsoft, as well as other options from third-party vendors like NetApp. In this webinar, we’ll look at the options available to Kubernetes, how to use them, and when to use them so you can choose the…

Understanding Azure Active Directory

Azure Active Directory is Microsoft’s answer to an all in one identity and access management solution. In this webinar, you will learn about many of the features in Azure AD, and how and when you should use them.

Azure DevOps with Azure Resources

Azure DevOps is a Swiss Army knife for automation on Azure. It offers a full range of tools for managing projects of all types and can be used to deploy apps and infrastructure through automation. In this demo-packed session, you’ll see some of the features Azure DevOps offers for building and deploying applications to a…

FUNDAMENTALS OF DEEP LEARNING

Deep learning is a subset of machine learning that relies on deep neural networks. It is how computers identify objects in images, translate speech in real-time, generate artwork and music, and perform other tasks that would have been impossible just a few short years ago. Learn what neural networks are, how they work, and how…

Setting Up Hybrid Hub and Spoke Networks on Azure

Hybrid connectivity for on-premise datacenters to the cloud and cloud-to-cloud connectivity requires creating complex networks to ensure the networks are scalable and secure while still being cost-effective. Microsoft with Azure has created several technologies to simplify this process and support the network topology pattern known as “Hub and Spoke,” which uses a “hub” of shared…

Machine Learning for .NET Developers: Intro to ML.NET

Need to incorporate machine learning (ML) and AI into your next project, but not excited about learning Python? ML.NET is Microsoft’s open-source ML library for .NET developers. With it, you can create sophisticated machine-learning models, and you can use transfer learning to build neural networks that perform image classification and other computer-vision tasks. And you…