Eugene Meidinger
Data training that respects your time
Pittsburgh, Pennsylvania, United States
Eugene Meidinger works as a BI consultant and Pluralsight author, specializing in Power BI and Azure. He has been working with data for 10 years.
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Topics
The math behind LLMs: GPTs from scratch
Large Language Models can seem magics, but in fact they are built on layers of math, research, and innovations over the years. In this session, we'll cover the math behind them and see how you could build one if you had unlimited time, money, and training data.
We'll start with a simple bigram prediction model and work our way up. We'll cover neural network such as backpropagation and gradient descent. By the end of this talk, you'll see how you could build a very tiny GPT.
Learning Fabric from Scratch with Magic the Gathering data
In this session, we will covering using an interesting and complex dataset (Magic the Gathering gameplay online) and make a Fabric project from scratch. This session will cover all the pain points and pitfalls if you have never worked with Fabric before and have no experience in that area. By the end of it, we'll have some cleaned data and Power BI reports.
Introduction to M and Power Query
When it comes to getting your data into Excel or Power BI, M is your best choice. The M Language (A.K.A Power Query) is a powerful tool for self-service data preparation. However, it's not clear where it fits compared to tools like SSIS or TSQL. It's also not clear what it's limitations are. This session will cover the basics of M and when to use it.
In this session, we'll demonstrate how M is a linear series of transformations, just like a set of steps from a recipe. We'll show how 80% of what you will ever need to do can be done from the GUI. We'll also talk about how to write custom code for that other 20%. By the end of this presentation, you'll be able to take any manual cleanup you do today and turn it into a repeatable process with M.
You could have invented Fabric: a beginner's guide.
Fabric can be a confusing technology if you are brand new. First, it's not one technology, but many technologies that have been put under one umbrella. Second, it builds on a lot of big data patterns and practices that may be new to you. In this presentation we'll see how with enough time and money, you could have invented Fabric yourself, specifically the delta lake part. We'll explain the tooling by focusing on the pain points that it solves.
An Introduction to DAX
Coming from the Excel world, DAX can look like Excel formulas on steroids. However, to be successful with DAX and Powerpivot, you'll need a completely different mental model. In this introduction to DAX, we won't spend too much time on the basics. Instead, we'll focus the concepts that make DAX unique. This will help you avoid the stumbling blocks of working with DAX. We will cover calculated columns, measures, aggregations, filtering, and iterators.
How I Deal with Depression
What is a depression and do you have it? Well, in reality, depression is a family of mental illnesses with varying symptoms and causes. It can range from a simple lack of pleasure and enjoyment, all the way to a crippling sadness.
In the talk, we'll talk about the different types of depression and how to identify it. We'll also about some of the different ways that you can treat it. I will cover my personal experiences and what has worked for me personally.
Power BI Performance Tuning
Your boss asks you the question: "Why is this report slow?". Ideally it would be a simple question, but it's not. Power BI is made up of multiple pieces of software, each with different techniques for benchmarking performance and fixing issues.
In this talk, we'll cover how to identify the source of the problem, measure performance, and make improvements. We'll cover tools like the built-in performance analyzer, DAX Studio, and SQL Server management studio. But the end of this course, you'll have a set of techniques and tools for optimizing your Power BI Reports.
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