Emilie Rønning

GitHub is no longer just a platform for source control — it has evolved into a powerful collaboration and project management tool as well. In this session, we’ll explore how GitHub Projects can help organize your teams work and plans, improve collaboration, and create more transparant progress reports.

GitHub is no longer just a platform for source control — it has evolved into a powerful collaboration and project management tool as well. In this session, we’ll explore how GitHub Projects can help organize your teams work and plans, improve collaboration, and create more transparant progress reports.

GitHub is no longer just a platform for source control — it has evolved into a powerful collaboration and project management tool as well. In this session, we’ll explore how GitHub Projects can help organize your teams work and plans, improve collaboration, and create more transparant progress reports. In addition, we will also identify other areas where Github Projects can improve feedback loops from end users and improve time efficiency both for the developers and the project team lead. Let's jump in with both feet and get your team started with GitHub Projects!

*Pre-registration is required. Login to your booking, click modify booking, scroll down + next, add the lunch and complete to the end* Diversity strengthens the data community by expanding the questions we ask, the perspectives we consider, and the solutions we build.

You have just begun your Azure journey and want to create your first pipeline and ETL-process in your new insights and analysis data platform in ADF or Microsoft Fabric. This session will take you through how you can set up a basic pipeline and make it more sophisticated as your competence increases.

As a data engineer you are responsible for transforming the data from source to a data model, ready for further analysis. A crucial part of the analytical solution, but still to some degree overlooked as the visual presentation of data is easier to consume for end users.

As a data engineer you are responsible for transforming the data from source to a data model ready for further analysis. A crucial part of the analytical solution, but still to some degree overlooked as the visual presentation of data is easier to consume for the end user.

As a data engineer you are responsible for transforming the data from source to a data model, ready for further analysis. A crucial part of the analytical solution, but still to some degree overlooked as the visual presentation of data is easier to consume for end users. Microsoft Fabric closes the gap between different data roles and enables increased visibility of the work we do with data across roles. But how does it work in real life? In this session, you will learn how you can use Microsoft Fabric as a data engineer, both on a beginner and experienced level. We will discuss which tools to using moving from low code to heavy coding. We will take a look at how you can utilize pipelines for ingesting data and orchestration of your ETLs and how you can create a secure and robust solution. There are a lot of decisions to be made as we move through the different examples and tools, so we will of course cover the elements you should consider for your solution.

You have just begun your Fabric journey and want to create your first pipeline and ETL-process in your new insights and analysis data platform. This session will take you through how you can set up a basic pipeline and make it more sophisticated as your competence increases.

You are interested in moving your company’s data to the cloud and have chosen Microsoft Azure as the designated hyperscaler. This session will help demystify Azure and the administrative structure of the platform you are about to build. We will dig into the best practices for structuring your subscriptions, resource groups and, maybe most important, your AD groups.

As a data engineer you spend a lot of time transforming data into data models that in turn will be used to provide insights to your organization. As the lines between the roles of a data engineer and data analyst become more and more blurred it is even more important to establish a solid data architecture. In this session we will demystify the medallion architecture and showcase how you can use it in your Microsoft Fabric solutions and the benefits of using a non-technical approach when collaboration between different data roles increases even more.

Okey, so you have taken on the responsibility as a project manager or scrum master, and you want to plan your project, the tasks and the project team capacity. Should you do it like you usually do in excel, or do you want to try a cool tool, like Azure DevOps?

As a data engineer you spend a lot of time transforming data into data models that in turn will be used to provide insights to your organization. As the lines between the technical and business roles become more and more blurred it is even more important to establish a solid data architecture.

As a data engineer you spend a lot of time transforming data into data models that in turn will be used to provide insights to your organization. As the lines between the roles of a data engineer and data analyst become more and more blurred it is even more important to establish a solid data architecture.

As a data engineer you are responsible for transforming the data from source to a data model ready for further analysis. A crucial part of the analytical solution, but still to some degree overlooked as the visual presentation of data is easier to consume for the end user.

You have just begun your Azure journey and want to create your first pipeline and ETL-process in your new insights and analysis data platform. This session will take you through how you can set up a basic pipeline and make it more sophisticated as your competence increases. I will walk you through static, dynamic and semi-dynamic pipelines making it easier for you to choose which is a better fit for your solution. And finally, I will show you how you can set up automated pipelines using scheduled triggers. Let’s embark on your journey on becoming the ADF pipeline guru in your organization.

Are you itching to get hands-on building solutions in Microsoft Fabric, but aren't quite sure where to start? Maybe you're coming from the world of Power BI and want to explore more of the tech behind the scenes? Or is it finally time to move away from the on-premises Microsoft BI stack to fully embrace the latest and greatest of analytical tools in the cloud? If so, this workshop is for you! In just one day, you will learn everything you need to build a Microsoft Fabric Proof of Concept. We will start with an overview of Microsoft Fabric and its experiences, common architectures, and the most important factors that will help you decide which parts of Microsoft Fabric are appropriate for your project. Lakehouse or Warehouse? Pipelines or Notebooks? Low-code or code-first? Microsoft Fabric can do it all! When you have a plan and a few rough diagrams, it's time to dig into the details. After you've set up your own workspace, we will go through options for ingesting, transforming and storing data. By discussing your proposed solutions with each other, you will also gain valuable insight and learn from each other’s experiences. Once the data is ready for consumption, we will look at how to create beautiful visualizations and tell stories with our data using Power BI, how to empower business analysts to take action based on changing data, and how to roll out a fully governed solution in your organization. Throughout the day, we will cover security, CI/CD, the pricing model, best practices for development, and lessons learned from real-world projects. Don't miss this opportunity to experience Microsoft Fabric's game-changing potential firsthand and learn how it can revolutionize your analytical workflow. Bring your laptop and get ready for a day full of hands-on experience and engaging discussions!

In just one day, you will learn everything you need to build a Microsoft Fabric Proof of Concept. Our experienced flight attendants will ensure a safe flight full of relevant use cases and a good learning environment.

Microsoft Fabric is the newest and coolest kid in town and for good reasons. It brings together the best features from Azure Data Factory, Azure Synapse Analytics and Power BI, making it easier than ever to build analytical solutions.

Are you ready for an illuminating exploration of Microsoft Fabric? In this session, we bring together three data professionals to showcase how the power of collaboration and a unified data platform can amplify your organization's data-driven success. Before Fabric, each data professional would typically work with their own tools and capabilities, each with their own strengths, weaknesses, and experiences. With Fabric, this is no longer neccesarily the case. In this joint session, three data professionals will share their unique perspectives on how different roles can thrive within the Fabric ecosystem. The Data Engineer: Meet "Emma", the visionary Data Engineer with an eye for transforming raw data into actionable insights. She will delve into the realm of Notebooks and Spark Jobs, illustrating how she harnesses the capabilities of Fabric to architect data pipelines, drive automation, and ensure data integrity within the Lakehouse. Discover how Emma empowers her team by seamlessly integrating various data sources, all residing in OneLake. The Data Analyst: Introducing "Jenna", the meticulous Data Analyst who excels in the art of harmonizing dataflows and nurturing the vital relationship between data and BI. Witness her unveil the secrets of Dataflows, showcasing the power of low-code solutions and the synergy between Power Query and Fabric. Explore how Jenna's orchestration of data ensures accurate, cleansed, and harmonized insights across the entire organization. The Data Governance Manager: Last but not least, join us on a journey with "Mia", the brilliant Data Governance Manager who ensures that data remains a strategic asset within the organization. With her keen eye for compliance and data integrity, Mia will guide us through the realm of data governance within Microsoft Fabric. Explore how Mia establishes robust data governance frameworks, enforces data privacy regulations, and oversees metadata management to drive responsible and ethical data practices. Witness her expertise in balancing data access controls and democratizing data insights while maintaining regulatory compliance and safeguarding sensitive information. Together, Emma, Jenna and Mia will demonstrate how their unique roles intertwine within Microsoft Fabric, all driven by a shared vision and powered by the comprehensive capabilities of OneLake. Prepare to be inspired as we uncover the synergistic magic that happens when diverse perspectives converge to unlock the true potential of data management.

Okey, so you have taken on the responsibility as a project manager or scrum master, and you want to plan your project, the tasks and the project team capacity. Should you do it like you usually do in excel, or do you want to try a cool tool, like Azure DevOps?