The Top 10 TechNet UK Articles of 2019!

A drawing of Bit the Raccoon in London, featuring a red double decker bus and Big Ben.

We may be a few days into the new year, but there’s still one more thing we need to do before saying goodbye to 2019 – check out the top ten articles of the year! A massive thank you to our guest writers and contributors for providing these articles, and we hope to work with writers new and old in 2020 to create even more great content for everyone at TechNet UK.

Without further ado, here’s the top ten!

A drawing that represents the cloud and AI, next to an image of Bit the Raccoon on the right.

10. The Opportunities and Responsibilities of AI

by Chris Walden

We believe AI to be more game changing than any technological advance that came before it. It’s taken us nearly four decades to put a PC on every desk and a smart phone in every pocket, but the pace of AI deployment will be much faster, and its impact more profound.

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9. Learn how you can be more efficient with Azure DevOps for your databases

by Chris Walden

One core objective of any development project is the ability to safely and securely accelerate the delivery process. And the foundation of any such project is the database it’s built on. That’s why it’s important that the database development project is integrated into the pipeline in Azure DevOps as well.

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8. A look at Azure Migrate v2

by Sarah Lean

Sarah Lean takes a look at what changes have come with Azure Migrate v2.

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7. How to evolve your DevOps practices

by Steve Clark

You undoubtedly know that DevOps stands for ‘development and operations’. And you understand it’s not a job title – so you can’t hire one. Nor is it not a piece of software – so you can’t install one. It’s a state of mind.

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6. Using Azure Data Lake Storage and Azure Datasets for Machine Learning

by Dr. Basim Majeed and Dr. Mufajjul Ali

Dr Mufajjul Ali and Dr Basim Majeed write about various level of abstractions of data using Azure Data Lake Store, and how they are mapped to different levels of the AI stack for building end-to-end machine learning models.

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5. Using Containers to run R/Shiny workloads in Azure: Part 4

by Jon Machtynger

In the parts one, two and three of this series, I described how to build containers using Dockerfiles, then how to share and access them from Azure. In this part, we’ll move briefly away from Python to look at R together with Shiny as a dynamic reporting and visualisation capability pulling data from a Postgres.

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4. Azure Sentinel – Where to start?

by Joe Carlyle

First announced back in late February, Azure Sentinel is the first cloud-native SIEM (security information and event management) service from a major provider.

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3. Why is Kubernetes exploding in the cloud?

by Steve Buchanan

What’s behind the Kubernetes buzz? Why is Kubernetes taking off the way it is – and what is this new offering of managed Kubernetes in the cloud?.

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2. Windows Virtual Desktop – First Thoughts

by Theo Van Kraay

Last month, Microsoft released Windows Virtual Desktop (WVD) to the public in preview. Joe Carlyle takes a closer look.

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1. Perfecting Continuous Delivery of NuGet packages for Azure Artifacts

by Utkarsh Shigihalli

Azure Artifacts is Microsoft’s solution to package management. Originally available as a separate extension on Visual Studio Marketplace, it is now pre-installed in Azure DevOps Services and Azure DevOps Server 2019, TFS 2018, and 2017.

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