Linda Torrång
Data Platform Engineer, DataMasterminds
Rättvik, Sweden
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With a diverse background in journalism and retail, Linda brings both business insight and attention to storytelling to the table as a data warehouse developer. Coupled with her passion for learning new tech and trying new things.
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Microsoft Fabric Performance Pitfalls and How to Avoid Them
Performance issues in Microsoft Fabric rarely have a single cause — they’re the result of small decisions adding up along your entire data journey. In this session, we’ll follow that journey from start to finish, exploring common pitfalls and practical ways to avoid them.
We’ll look at key performance considerations in every stage of your architecture — from ingestion to storage, through transformation, and all the way to reporting in Power BI.
Whether it’s designing for incremental refresh, managing partitions and lifecycle in your lakehouse, optimizing notebooks and pipelines, or making smarter choices in your reports — this session will give you a high-level map of where performance problems typically sneak in, along with hands-on tips for staying in the fast lane.
Expect a mix of architecture guidance, real-world lessons learned, and actionable advice you can take back to your own Fabric environment.
Driving Success through End-User Engagement in Power BI
Is No One Using Your Reports?
If your reports aren’t being used, it’s crucial to determine whether the issue lies in technical aspects or a lack of user understanding. This session highlights the importance of proper user training, engagement, and a comprehensive planning process, ensuring that business users are not only equipped with the tools but feel empowered to extract meaningful insights, create value, and fully engage with the data.
We'll explore how data governance and thoughtful planning from the outset can establish a solid foundation for successful Power BI adoption, ensuring both the technical and human factors are aligned for long-term success.
In addition, I’ll cover key Power BI features designed to enhance user adoption and engagement in a data-driven environment.
Multitasking for Mortals - How to Stop Multitasking and Start Getting Things Done
The Hydra has five heads. You don't.
Stop expecting yourself to multitask like a five-headed monster!
We often find ourselves in multiple projects and challenges and try to work on everything at once. Unfortunately that will not lead to the results you hope to achieve - simply because the human brain is incapable of true multitasking.
What can be done? Either you scale down, scale out or burn out.
By embracing better structure and learning to do mindful, conscious context switching, not only will you be able to do more with maintained or improved focus - you will also be able to do so in multiple areas simultaneously. This is "multitasking" in a way that actually works for the mortal brain.
An ounce of planning is worth a pound of result. Good planning will decrease stress and increase your chances of achieving your goal. I'll show you how.
How to avoid the most common junior mistakes
Everyone will start their career as a junior - that is the very definition of someone new in the field. As juniors, we have a clear tendency to make the same mistakes as other juniors all around the world.
Imposter syndrome - check.
Working too much - yep.
No clear skill development plan - that too.
The list could go on. I sure have made my share of "junior mistakes" and would like to spare others from at least some of the agony.
Let's try to steer clear of unnecessary agony and learn from those who came before us. Let's try to make the world of data a healthier place to work in.
It's hard enough to keep up with fast-changing technology as it is - we really don't need to make things even more difficult for ourselves by making the same mistakes over and over again.
This session will discuss some (way too) common mistakes, and share some possible solutions to make starting life in the tech lane a bit easier.
Feedback link: https://sqlb.it/?7185
+5 Wisdom - Learn to Ask Better Questions to Solve the Right Problems
Asking questions is easy. Anyone can do it, and, in fact, it is done every day. Asking good questions is harder. It takes some thinking about the problem before the question comes to mind, but it can be done.
Asking really good questions is very, very hard. It's so hard that the really good questions are rare. Why is that? It might be because we're asking the wrong questions.
We think that the technical community tends to jump straight to trying to solve the problem as stated instead of considering if the problem identified is even the actual problem in the first place! By taking a step back and considering the bigger picture instead of focusing solely on the stated problem, we can not only find other solutions, but we might even find better questions to ask. In essence: look further. Ask better questions.
As a journalist, Linda used to be all about open ended questions in order to let the subject frame the problem. As a solutions architect, Alexander was all about trying to avoid the detailed technical solutions to a people problem. Together we found better ways to find the answers that mattered.
We want to help you figure out how to ask better questions - and subsequently how to become a better problem solver.
We will discuss why words matter, when you should not always listen to what is said, and how your choice of questions will always give you the answers you deserve.
dataMinds Connect 2023 Sessionize Event
Data Saturday Holland 2023 Sessionize Event
Power BI Next Step 2023 Sessionize Event
Data Moshpit 2023 Sessionize Event
Data Saturday Stockholm 2023 Sessionize Event
SQLBits 2023 - General Sessions Sessionize Event
Data Toboggan - Cool Runnings 2022 Sessionize Event
Data Saturday Stockholm 2022 Sessionize Event
SQLBits 2022 Sessionize Event
New Stars of Data #3 Sessionize Event
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