Rune Ovlien Rakeie

Organizations are increasingly adopting lakehouse architectures to unify analytics and machine learning workloads. However, many implementations suffer from poor foundational decisions that become costly to remediate later.

At last year’s Fabric Community Conference (FabCon) in Las Vegas, Microsoft announced the general availability of the Terraform provider for Microsoft Fabric. This milestone has significantly narrowed the gap in automated management of Fabric resources.

Organizations are increasingly adopting lakehouse architectures to unify analytics and machine learning workloads. However, many implementations suffer from poor foundational decisions that become costly to remediate later.

Most, if not all, PaaS services in Azure have the default configuration public network access, meaning routing the traffic over the Internet. The sad reality is that bad actors are getting better every day to find ways to breach your defenses and exfiltrate your data or worse.

Most, if not all, PaaS services in Azure have the default configuration public network access, meaning routing the traffic over the Internet. The sad reality is that bad actors are getting better every day to find ways to breach your defenses and exfiltrate your data or worse. To begin to remedy this, either due to compliance requirements or just common sense, you are now tasked with making sure the network traffic from your users to your data are protected using end-to-end private networking. You know your data platform PaaS services but have limited network experience and are at a bit of a loss on how to proceed. There are some differences in implementation and caveats for the different data platform PaaS and this session will cover those for Fabric, Databricks, Managed Instance and SQL Database. In this session we will go through the following: - An overview of how networking in general works in Azure - Which network components you should learn and understand - How to secure traffic from your application to your data - How to solve hybrid scenarios where parts of the application is running on-premises or at another cloud vendor - What cost implications there are for implementing private networking Join me in this session to learn about securing and accessing your data privately. All code to provision a working implementation of the different data platform PaaS using private networking will be made available for you free to use when you get back home.

At last year’s European Fabric Community Conference (FabCon) in Stockholm, Microsoft announced the public preview of the Terraform provider for Microsoft Fabric.

Join us as we guide you through how to secure your real-time data, how to implement Fabric Real-time Intelligence at speed and at scale across your estate, and how to automate the creation of all the resources you need to incorporate real-time data into your data ecosystem. At the close of this session, you will have access to a code repository that will give you the tools to recreate every demo y

As organizations increasingly adopt cloud technologies, managing infrastructure efficiently becomes paramount. Infrastructure as Code (IaC) tools play a crucial role in achieving this goal.

Join Johan and Rune as they present arguments from both sides and discuss why Data Mesh is the new way forward… or just the same old stuff in a different wrapping.

In the on-premises world us DBAs for the most part have lived in a silo where it is clear-cut what our responsibility is. We took care of the database and other teams were responsible for the storage, compute and network to name a few.

…or the best original idea since the invention of sliced bread? In this session Johan and Rune will presents arguments from both sides and discuss why Data Mesh is the new way forward… or just the same old stuff in a different wrapping. We will further discuss how the current cloud toolset can be used in a “Data Mesh-way”… or just how it should be used anyways using the terms, methods and practices we know from before. Walking away from this session we hope we have clarified for you: - What is Data Mesh? - Why is Data Mesh a great idea… or not so great? - How can we do modern data platforming the “Data Mesh-way”… or not? Welcome to 60 minutes of enlightenment…?

An essential part of migrating your application workload to the cloud is how to transfer your data securely to its new home. If you in addition want to change the underlying database system, for instance Oracle to SQL Server, it can quickly escalate to an overwhelming task.

An essential part of migrating your application workload to the cloud is how to transfer your data securely to its new home. If you in addition want to change the underlying database system, for instance Oracle to SQL Server, it can quickly escalate to an overwhelming task. What if your application have a very high uptime requirement and your database is so large that you don't have a downtime window long enough to do a traditional backup/restore operation? In order to overcome these pain points we have now available, both in Azure and AWS, services and tools that alleviate these pains and brings your valuable data safely across with near-zero downtime. In this talk we will: - Guide you through how to set up a migration process with checks and balances - Compare the schema analysis and conversion tools provided by AWS and Microsoft - Compare the migration services provided by AWS and Azure - Demonstrate near-zero-downtime migration for a live database on AWS and Azure