DataOps for Power BI en fr

Have you ever overwritten a Power BI report in the service before realizing that you haven't edited the latest version of it?

I think this has happened a few times to all 🤫

But why? Let's mention some inherent particularities to the product:
- Power BI files are saved as PBIX and are binary so rather hard to compare.
- They contain both the ETL part, the model and its measures, and calculated columns as well as the data visualization - parts.
- It’s a Self-Service BI tool…

So many reasons not to follow good development practices!

In this session I will present tools and features to support DataOps for Power BI developments with:
- Power BI Deployment Pipelines #BuiltInFeature
- Azure DevOps using libraries #NoCode
- Azure DevOps using customizable PowerShell scripts
- Advanced DevOps Pipeline using Tabular Editor to build on the fly the Data Model, run DAX validations queries and run Best Practice Analyzer before publishing validated reviewed artifacts to Production Workspaces

DataOps for Power BI en fr

Have you ever overwritten a Power BI report in the service before realizing that you haven't edited the latest version of it?

I think this has happened a few times to all 🤫

But why? Let's mention some inherent particularities to the product:
- Power BI files are saved as PBIX and are binary so rather hard to compare.
- They contain both the ETL part, the model and its measures, and calculated columns as well as the data visualization - parts.
- It’s a Self-Service BI tool…

So many reasons not to follow good development practices!

In this session I will present tools and features to support DataOps for Power BI developments with:
- Power BI Deployment Pipelines #BuiltInFeature
- Azure DevOps using libraries #NoCode
- Azure DevOps using customizable PowerShell scripts
- Advanced DevOps Pipeline using Tabular Editor to build on the fly the Data Model, run DAX validations queries and run Best Practice Analyzer before publishing validated reviewed artifacts to Production Workspaces

Fabric Cost Analysis en fr

Presentation of the solution accelerator for Fabric platform to monitor cost.

The solution aims to facilitate the understanding and monitoring of the Microsoft Fabric Cost. Customers may not always clearly distinguish between costs that are included or excluded within the Data Platform, the handling of reservations (particularly those not rationalized within a defined scope), or their capacity usage. They may also need guidance on strategies for optimizing resources and implementing effective FinOps practices, including chargeback and show back to stakeholders.

FCA has the goal to provide a holistic view specified on Microsoft Fabric aspects and particularities (joining Financial and Operational forces) on top of the various information, which can be extracted from Azure Cost Management, personal enriched source of information, … allowing its users to analyze at a very high level, but also to deep dive into specific usage, reservations and particularity of the platform for a more finer data analysis.

FCA is fully developed utilizing Fabric capabilities, with Pipelines and Notebooks serving as key tools for data extraction and transformation. Data is maintained both in its raw format and as Delta Parquet, allowing users to access it directly through Power BI Direct Lake. FCA includes standard reports that provide an overview of data and allow users to customize or create their own reports using the data model. Fabric's open platform enables integration with external data sources for further analysis as needed.

Fabric Cost Analysis (short: FCA) is a solution to enable holistic monitoring of Microsoft Fabric Cost with the help of Microsoft Fabric.

Fabric Cost Analysis en fr

Presentation of the solution accelerator for Fabric platform to monitor cost.

The solution aims to facilitate the understanding and monitoring of the Microsoft Fabric Cost. Customers may not always clearly distinguish between costs that are included or excluded within the Data Platform, the handling of reservations (particularly those not rationalized within a defined scope), or their capacity usage. They may also need guidance on strategies for optimizing resources and implementing effective FinOps practices, including chargeback and show back to stakeholders.

FCA has the goal to provide a holistic view specified on Microsoft Fabric aspects and particularities (joining Financial and Operational forces) on top of the various information, which can be extracted from Azure Cost Management, personal enriched source of information, … allowing its users to analyze at a very high level, but also to deep dive into specific usage, reservations and particularity of the platform for a more finer data analysis.

FCA is fully developed utilizing Fabric capabilities, with Pipelines and Notebooks serving as key tools for data extraction and transformation. Data is maintained both in its raw format and as Delta Parquet, allowing users to access it directly through Power BI Direct Lake. FCA includes standard reports that provide an overview of data and allow users to customize or create their own reports using the data model. Fabric's open platform enables integration with external data sources for further analysis as needed.

Fabric Cost Analysis (short: FCA) is a solution to enable holistic monitoring of Microsoft Fabric Cost with the help of Microsoft Fabric.

FinOps for Microsoft Fabric en

Microsoft Fabric unifies analytics yet many teams still lack clear, actionable cost visibility.

In this session, you learn how to apply FinOps in Fabric so finance, engineering, and BI leaders can align on spend, performance, and accountability without slowing delivery.

We’ll demystify capacity units, meters, reservations, and workload behaviors, then show how to turn raw signals into decisions using Fabric Cost Analysis (FCA) a free, open‑source solution that normalizes and visualizes Fabric usage and cost data for showback/chargeback, anomaly detection, and governance.

You’ll see live FCA dashboards and leave with a practical deployment path: where to source data, how to structure it, and how to build cost KPIs your stakeholders trust. Expect real customer patterns, common pitfalls, and concrete guardrails that help you scale Fabric confidently.

Who should attend: Data/Analytics Leaders, Capacity Admins, FinOps Practitioners, Architects, BI Platform Owners.

Level Intermediate (familiarity with Fabric capacities and Azure Cost Management recommended).

Key outcomes
- Interpret Fabric capacity signals and meters to explain spend internally.
- Deploy FCA and connect the right data sources for reliable showback/chargeback.
- Detect cost anomalies and govern workloads with practical guardrails.
- Operationalize FinOps rituals (dashboards, reviews, ownership) that stick.

Demo: FCA end‑to‑end: data flow, model, dashboards, and decision playbook.

A Practical Tour of Monitoring in Microsoft Fabric en

Modern analytics platforms demand reliability, performance, and strong governance and Microsoft Fabric is no exception. In this session, we will guide you through the end‑to‑end monitoring landscape of Microsoft Fabric, showing how to combine platform‑native tools and community solutions to keep your environment healthy, secure, and cost‑efficient.

We begin by answering a simple question: Why monitor Fabric? Attendees will learn how monitoring strengthens governance, prevents incidents, identifies usage patterns, and improves capacity planning. We’ll then break down the four essential monitoring layers:
- Tenant-level monitoring through the Admin Portal, security settings, audit logs, and built‑in reports
- Capacity-level insights using metric apps to understand trends, consumption patterns, and optimization opportunities
- Gateway monitoring to track performance and troubleshoot on‑premises connections
- Item-level supervision with the Monitor Hub and usage reports for detailed activity tracking

We will also explore key tools and recommended practices, including Fabric Unified Admin Monitoring (FUAM) and Fabric Cost Analysis (FCA) for holistic oversight and transparent cost governance.

To help you turn insights into action, the session includes real‑world use cases, resources, and templates that you can immediately apply in your own environment.

Who should attend? Data engineers, architects, administrators, and decision‑makers looking to strengthen their monitoring posture in Fabric.

What will you gain? A clear understanding of Fabric’s monitoring ecosystem, practical guidance to improve governance and performance, and actionable steps to optimize your organization’s observability strategy.

Ready to elevate your Microsoft Fabric monitoring capabilities? Join us for this essential and highly practical walkthrough.