Jan Van Meirvenne
Microsoft Data & AI Platform Architect
Sint-Niklaas, Belgium
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Most 90's kids loved Jurassic Parc for the dinosaurs. Jan loved it for the premise of a fully computerized environment. After building some of the movies 'Unix system' interfaces in the BASIC programming language, the passion for IT was sparked. The sense of wonder induced by that movie is something that Jan tries to pass on to every person he meets.
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From lone wolf to the pack: scaling PowerBI beyond the pbix
It is very easy to build the best report in the world with Power BI on your own, but what to do if you are part of a dream team? Securely collaborating on analytical content, whilst also guarding its quality as it lands at the business doorstep is no longer a pipe dream. In this session we'll show you how software engineering practices, combined with some good old platform governance can turn your report sweat shop in a full blown Tesla factory.
Smooth sailing through your data using the lake house pattern
For some time the combination of a data lake and data warehouse ensured that both business analysts and data scientists could use the best tool for the job. This complexity know has a new challenger where a data lake can become a data warehouse without using different tools and still allowing everyone to participate in the data analytics eco-system. In this session I will show you what a lake house brings to and leaves off the table and how to migrate your architecture and development patterns.
How to prevent a mess when setting up a Data mesh
The Data Mesh architecture is a hot pattern that allows central governance of a decentralized data landscape. In this session I will explain how this pattern can be landed on the Azure platform and how central governance can prevent a fragmented data consumption experience.
From notebook writer to code developer: how to make your pipelines portable by going modular
DevOps is a concept born in the application development hemisphere and since the proliferation of cloud computing becoming a cornerstone of approaching other IT areas. DataOps allows your data pipelines to become applications which can be versions, tested and delivered to the data platform in a rapid, but controlled way. In this session, I will show you how to take your existing notebooks out of the platform, mold them into a portable application and deploy it to the platform again.
The Microsoft Data Platform anno 2024
The public cloud has allowed companies to become data-driven without technical limitations. In this session I will show you how to design a landing zone for your analytical workloads and how to setup a governance model around it.
DataOps on Azure: treat your data as code!
DataOps is a derivative from the DevOps principle which is taking the IT world by storm. In this session I will show you how to apply DataOps on top of an Azure-based analytical workload.
The 1-2-3 of Identity
Identity becomes the security perimeter in cloud computing. In this session I will show you how to setup your identity platform in the cloud, make it secure and integrate your workloads with it.
Moving your ETL from Dev to Prod with DataOps
Building the perfect ETL pipeline is hard. Packaging and automating it so you can deploy it anywhere with the click of a button? Easy! Let ke show you!
Modern Data Warehousing in Azure
Big Data is all the buzz lately but what is it exactly and how does it look like in an actual implementation? Come find out!
How to migrate 400 databases to Azure, in a few days, with zero manpower
The Azure platform is a very appealing platform as it abstracts away a lot of complexity that lives in the onpremise world. But getting your existing resources to the cloud often seem like a daunting task, costing you your first son and your pinkie. This session will show how with thorough migration planning and automation, you can transform your workloads in a matter of days.
From Lift-and-Shift to Cloud-Native: the app modernization process
As the IT market is more and more shifting to cloud-based computing, application developers are under pressure to get their apps cloud-ready. How does one get started? Do I need to avoid my social life for a year to rebuild my codebase? No! Let me show you how to setup a roadmap towards the v1, v2, vNext modernization process of your app!
Do more with (server)less
Serverless Architecture is a hot item in the cloud transformation story. Do what you love most: code! Leave the rest to the Azure Functions & Logic Apps. This session will provide an overview of both platforms, and when to use which one
Create your own connectors with the PowerBI SDK
In this workshop I will show you how you can simplify access to your in-house data interfaces by providing custom connectors to your data analysts
Bring IT and Business closer together using custom PowerPlatform connectors
Do you want to bring some Power Platform goodness to your own IT environment and create instant business value? Let me show you how to create bridges to your in-house applications, your corporate IT and your traditional developers.
Blazor & Functions: making your API visible with a serverless GUI
Blazor is the new kid on the block. It allows you to reuse your existing .NET skills to create rich web interfaces. Let me show you how to combine a serverless API with a serverless GUI to have a low-footprint but high-quality service.
An IT Pro interpretation of the Azure AI platform
AI ..the latest buzzword in IT. It has a different meaning for everyone. What is it and what can it do? But also...what can it not do? This session will explain all that in layman's terms so that everyone has a grasp on the technologies and concepts involved without needing a PhD in mathematics.
Where is my data?! - Achieve Data Governance with Microsoft Purview
It has become incredibly easy to collect a huge amount of data, but how do you keep track of it? In this session I will show why you need data governance and how Microsoft Purview can be used to implement it in your environment.
Protecting the value of GenAI with LLMOPS
Generative AI, the next revolution after mobile, the PC and the internet. Never before was building intelligent interactions with our data and processes so accessible. But as always, creating value and protecting that value as an asset are 2 separate things. In this session, I'll show you what tools exist in the Azure platform to not only build a so-called co-pilot, but setup a lifecycle pipeline to go from an experimental to production-ready quality. We had data ops, and MLOps, are we ready for LLMOPS? Hell yes!
Jan Van Meirvenne
Microsoft Data & AI Platform Architect
Sint-Niklaas, Belgium
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