Kevin Arnold
Arnold Analytics, Founder | Microsoft Data Platform MVP
Dallas, Texas, United States
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Kevin Arnold is the Founder of Arnold Analytics, overseeing software management methodologies, deployment strategy, and optimal data architectures for clients. He is a senior data architect with over 20 years’ experience, including at large-cap and SMB consultancies. His work focuses on the Modern Microsoft BI Stack including Power BI, Analysis Services, SQL Server, PowerShell, DevOps, Azure, and Power Query.
He is a co-leader and frequent presenter for the Dallas/Fort Worth Power BI User Group, as well as presenting at conferences and other user groups. He has been recognized by Microsoft as a Data Platform MVP in 2022.
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Managing the migration to Power BI backed by Fabric
As Salad and Go celebrated their 10th anniversary, they had completed a period of growth that nearly quadrupled the brand's size in less than three years and now faced the exciting challenge of continuing that pace of growth into the future. However, their existing BI tool and data platform struggled to keep pace with the business’s expanding needs and failed to deliver a solid return on investment. This session will delve into our comprehensive journey of migrating from the old platform to Microsoft Fabric, with Power BI as the cornerstone of our reporting strategy.
The session will begin by discussing how we engaged senior leadership to gain their support and sponsorship for the migration project, including strategies for communicating the benefits and ROI of the new platform to stakeholders. We will then explore insights into aligning project management methodologies with technical development to ensure seamless progress tracking and communication, along with the tools and techniques used to keep the project on track and stakeholders informed.
Next, we will share best practices for structuring and organizing the development team to handle the migration efficiently, highlighting the roles and responsibilities that were crucial for the success of the project. We will also cover the steps taken to prepare the business for the transition, including training and change management strategies, and how to manage expectations to ensure a smooth adoption of the new platform.
An important part of the session will be an overview of the critical technology decisions made during the migration to Microsoft Fabric. We will discuss the factors considered in selecting the right tools and technologies within the Fabric ecosystem to meet business needs.
Finally, we will provide real-world examples of how the team navigated unexpected challenges and pivots during the project, sharing lessons learned and tips for staying agile and adaptable throughout the migration process.
Join us to gain valuable insights and practical advice on managing a successful migration to Power BI backed by Microsoft Fabric, and learn how to set your team up for success in handling future growth and changes.
Building a Lakehouse on the shores of OneLake in Microsoft Fabric
This session will explore the Lakehouse features in Microsoft Fabric, the all-in-one analytics solution. You will learn the differences between the Lakehouse and the Data warehouse, including why to choose Lakehouse as your foundation. We will discuss the multiple ways to build that foundation from No-Code to Low-Code and Pro-Code options. The session will also explore ways to build up from the foundation with Direct Lake Semantic Models, SQL Queries and Notebooks.
Improving your DAX skills with dax.do
This advanced session focuses on using the dax.do web site, developed by SQLBI, to improve your DAX knowledge. You will learn about the user interface, the data models, and sharing queries. Next, we will write queries using common DAX functions. You will want to bring your internet connected device to practice writing these queries during the session in your favorite browser. It is recommended that attendees have basic DAX skills/knowledge will get the most out of the session.
Practical Use Cases for Composite Models
Have you heard about “DirectQuery for Power BI datasets and Azure Analysis Services”, AKA composite models, and wondered about using them? This session will cover some practical and simple hands-on examples that will reveal new ways to extend thin reports and improve analyze in Excel. We will also cover some caveats and areas to proceed with caution.
Summary agenda:
Feature introduction/review
Hands on demo with What-if parameters
Limiting viewed tables for better personalization
Reporting with multiple models
Spreadsheet to Star Schema in less than an hour
You have been using Power BI and producing reports using extracts from a system. You now need to add additional data or logic to the report. You have heard about the Star Schema design and think that might help.
This session will show you how to get started with the transition and decisions you will need to make with your design.
DAX Queries in Power BI Desktop
In this session you will have a deep understanding of the DAX Query in Power BI desktop. You will learn the feature’s basics and we will explore how it can change your development processes for the better. During this session you will learn:
• Differences between DAX measures and Queries
• How to quickly learn the top functions for DAX queries
• Ideas for improving your DAX development and testing process.
This will be a demo focused session.
Introduction to Microsoft Fabric
This session will introduce you to the features in Microsoft Fabric, the all-in-one analytics solution. You will be provided with an overview of Lakehouse, Notebooks, Data Factory, Synapse Data warehousing, Real Time Analytics, Data Science and OneLake. We will discuss how to get started, how to use your existing skills and grow your skills to take advantage of the platform. You will also learn how Microsoft Fabric is billed and how to control the costs for your solution.
Building a Data Warehouse on the shores of OneLake in Microsoft Fabric
This session will explore the Data Warehouse features in Microsoft Fabric, the all-in-one analytics solution. You will learn the differences between the Lakehouse and the Data warehouse, including why to choose Warehouse as your foundation. We will discuss the multiple ways to build that foundation from Low-Code to Pro-Code options. The session will also explore ways to build up from the foundation with Semantic Models and SQL Queries. We will also cover the differences between Fabric data warehouses and SQL Server.
Kevin Arnold
Arnold Analytics, Founder | Microsoft Data Platform MVP
Dallas, Texas, United States
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