Session

Unlocking the Power of Microsoft Fabric: Real-World Insights from MVP Implementations

With hands-on experience from my tenure as Data and AI Lead at Microsoft Ireland (MTC) and as a Senior Principal at Slalom, I will share practical insights and real-world experience of implementations that showcase the true potential of Microsoft Fabric.

My experience spans from hands-on exploration during the early days of the platform to leading production deployments, including the first EU Fabric MVP for Ireland's largest meat producer. This session aims to distill the practical learnings and strategies garnered from these impactful implementations.

Key Takeaways:

Microsoft Fabric Accelerator: Fabric Accelerator to streamline the ingestion of data from various sources. This tool significantly reduces the time and effort needed to integrate disparate data sources into Fabric, enhancing efficiency and consistency.
Accelerator Features: Automated data ingestion processes, support for multiple data sources, and integration with existing Fabric pipelines.
Accelerator Benefits: Quick setup, reduced manual effort, and improved data consistency and accuracy across different data sources.

Practical Insights from Ground-Level Implementations:

Detailed case studies and lessons learned from deploying Fabric in diverse environments.
Real-world examples of how Fabric can be leveraged to ensure data accuracy, availability, and accessibility.
Implementing a Modern Data Culture:

Strategies for fostering data access and transparency.
Enhancing ways of working through effective data guardianship.
Promoting data literacy and governance to align with organizational vision.
12-Week MVP Roadmap:

Comprehensive plan from discovery to value realization and transition.
Best practices for rapid, impactful MVP development.
Technical Deep Dive:

Utilizing Shortcuts and Azure Data Factory (ADF) for efficient data sourcing.
Transforming raw data into actionable insights with delta tables and dataflows.
Implementing robust RBAC and workspace role definitions.
Ensuring Data Accuracy:

Effective testing strategies for pipelines and notebooks.
Business SME involvement for data validation.
Techniques for auditing, lineage tracking, and continuous monitoring.
Starting with Fabric:

Considerations for choosing the right Fabric capacity.
Recommendations for creating and scaling development environments.
Cost monitoring and optimization tips.
Maximizing Data Value:

Understanding the economic impact of data.
Strategies to enhance data value through targeted use cases.
Addressing data mismanagement risks and leveraging usage-based value.

Optimization Tips:
Deciding on development languages, maintaining proper documentation, following naming conventions, and leveraging metadata effectively.
Creating a Sustainable Fabric Environment: Guidelines for documentation, naming conventions, simplicity, and developing custom Fabric guidelines tailored to your organization’s needs.

Fabric Security Implementation:
How differet Workspace Roles really works in real world:
How to Share Fabric Items:
How to Limit Access: Role-Level Security (RLS), Column-Level Security (CLS), and RBAC etc.
Best Practices for Fabric Administration: How I have guided customers to adopt best practices for managing and administering Fabric environments, focusing on security, governance, and efficient operation.rs.

Interactive Engagement:

Incorporating 5-6 interactive quizzes using Slalom's proprietary tool, SparkThink.
Real-time polling and dynamic results display to engage and amaze the audience.
Audience Engagement Example:
"With Fabric in mind, what is your top priority use case?
A) Simplifying the data management lifecycle
B) Making data more connected, available, and accessible
C) Activating generative AI"

Participants will see real-time voting results displayed as dynamic bar charts, making the session interactive and engaging.

By the end of this session, attendees will gain actionable insights and practical strategies to harness the full potential of Microsoft Fabric, enabling their organizations to achieve unparalleled data accuracy, availability, and accessibility.

Target Audience : Mix of Business and techies
Duration : 60 Mins
Technical requirements : None

Nilendra Singh

Senior Principal , Data Analytics @ Slalom

Dublin, Ireland

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