Speaker

Blake Beckemeyer

Blake Beckemeyer

Solution Advisor - Applied Information Sciences

Indianapolis, Indiana, United States

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Blake, a technical lead of Power Platform and Fabric solutions at Applied Information Sciences, eagerly shares knowledge around low-code and analytical products, constantly searching for opportunities for integration and simplification in any solution he works on and proposes. He started out in the mortgage industry and quickly saw the need for data-driven decisions that ultimately led him to Power BI, then Power Platform, and at present focusing on solution design and low-code governance. He loves a good challenge such as migrating messy legacy data to Power Platform, designing complex semantic models in Power BI, and showing others new things. He lives in Indiana and maintains an active professional singing schedule, giving him a signature energetic and visceral presentational style, even if there’s no singing involved!

Area of Expertise

  • Business & Management
  • Information & Communications Technology

Topics

  • Power Platform
  • Microsoft Power BI
  • Microsoft Power platform
  • Power Automate
  • Power Apps
  • Microsoft Power Automate
  • Microsoft Power Apps
  • Power Platform - Low Code
  • Power Query
  • Power Platform Governance
  • Fabric
  • Power BI / Fabric
  • Microsoft Fabric
  • MS Fabric
  • DAX

Orchestrating MCP Servers: Azure DevOps + Power BI + Fabric for Agentic Workflows

Modern teams are experimenting with Model Context Protocol (MCP) servers, but most demos stop at single-server capabilities. This session goes deeper—showing how to orchestrate multiple MCP servers to automate real engineering workflows. You’ll see a practical, end-to-end scenario that connects the Azure DevOps MCP (for work items, pipelines, and repos) with the Power BI Remote MCP/Fabric MCP (for data queries, semantic models, and report refresh) to create a closed loop: code changes trigger DevOps actions, telemetry rolls into Fabric/Power BI, and insights feed back to improve delivery. We’ll cover architecture choices, security boundaries, and governance patterns you can take to production. By the end, you’ll have a blueprint for multi-MCP orchestration that accelerates delivery, improves observability, and keeps compliance front-and-center. The session balances live demos with design guidance so you can adapt the patterns to your stack—whether you’re starting with Power BI models or consolidating analytics under Fabric. Attendees leave with artifacts and checklists to replicate the scenario and extend it to Terraform, Git, and other MCP servers.

End-to-End Data in Low Code

We will take an FinOps Industry example of a Profit and Loss statement and create an incremental refresh protocol solely using low-code.
- Learn how to create a data pipeline with parametrized outputs directly in source control.
- Create a medallion architecture with dataflows.
- Limit SQL and Python where possible to democratize data engineering.
- Best practices around building semantic models, especially in GL scenarios.

DAX/Power Query & Dataverse: Making Power BI Work for Dataverse

Anyone who has worked to bolt-on Power BI reports on a Dataverse-grounded project has dealt with these three problems: multi-select fields, audit history, and dynamically selecting columns in your query. In the UI, there are also requests that ask for an excel-like output with things like blank rows, categories, and differing aggregations that matrices are not designed for. Moreover, the data model is already fairly firm before reporting requirements are even generated.

Let’s instead embark on a two-pronged process: how data analysts ideally collaborate with Power Platform architects in the nascent stages of the application build, and how do analysts smooth conflicts between UI requirements and reporting requirements when they arise. Get equipped to develop in tandem with common Dataverse development patterns that are harder than they appear in Power BI.

Mastering Migrations to Dataverse: Data, Documents, and Security

Enterprise app builders, are you ready to conquer the challenges of data migration? We’ll dive into the essential tools and techniques for seamless data migration, covering everything from polymorphic fields to Business Units, Teams, and the systemuser table, all of which cause significant headaches when shaping data from a source to a target regarding security modeling.

Discover how to maintain a robust security model during migration and tackle common obstacles head-on such as multi-select columns, filling and cleaning Excel-based data, normalizing data, and understand how to avoid triggering automations. We’ll share insights on the entire migration process, including data UAT and go-live strategies, ensuring you’re well-prepared for success.

Join me to transform your data migration experience and unlock the full potential of Dataverse with the legacy data too!

Low-Code CI/CD: Tooling, Event Hooks, and Fusion Development

This session will demystify the processes, empowering developers to confidently configure, understand, and participate in CI/CD workflows using a fusion development esthetic.

Explore how Power Automate serves as the perfect environment for implementing event hooks with to maintain consistent practices across all applications, from simple Canvas Apps to complex Model-Driven Apps with Power Pages. We’ll walk through the nascent steps of deploying your first pipeline to showing complex use cases that include source control through GitHub and pull-request-lite practices using Azure DevOps and Microsoft Teams Approvals.

We’ll delve into best practices for choosing and using deployment systems, addressing limitations, and exploring extensibility options. By treating governance as an integral part of development, you’ll ensure that your pipeline is both robust and adaptable.

Join us to elevate your development process, streamline deployments, and embrace the future of low-code CI/CD.

M365 Community Days - Saint Louis Sessionize Event

May 2025 St. Louis, Missouri, United States

Blake Beckemeyer

Solution Advisor - Applied Information Sciences

Indianapolis, Indiana, United States

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