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Microsoft Fabric Training

Microsoft Fabric Training

This customisable training program provides an in-depth, hands-on learning experience with Microsoft Fabric, covering its architecture, key components, and practical applications. Designed for data professionals, the program offers a series of customisable modules that cater to various roles and expertise levels, ensuring participants gain the skills needed to effectively utilise Microsoft Fabric in their organisations.

Key Topics Covered:

  • Microsoft Fabric Architecture and Components Deep Dive: Understanding the core elements and their interactions.
  • Data Ingestion and Transformation Using Fabric: Techniques for efficient data processing.
  • Real-Time Intelligence Implementation: Strategies for real-time data analytics.
  • Data Engineering Best Practices in Fabric: Optimising data pipelines and workflows.
  • Data Warehouse Design and Optimisation: Building and refining data storage solutions.
  • Data Science and Machine Learning Workflows: Applying ML techniques within Fabric.
  • Power BI Integration and Advanced Analytics: Leveraging BI tools for enhanced insights.
  • Governance, Security, and Compliance in Fabric: Ensuring data protection and regulatory compliance.

Delivery Method:

  • Instructor-Led Training: Virtual or on-site sessions providing detailed explanations and guidance from experts.
  • Hands-On Labs and Practical Exercises: Real-world scenarios to apply learned concepts.
  • Q&A Sessions with Fabric Experts: Opportunities to clarify doubts and gain insights from seasoned professionals.

Modules (Customisable Based on Your Needs):

Fabric Administration and Governance: Managing Fabric environments and ensuring compliance.

Fabric Fundamentals: Introduction to Fabric’s ecosystem and foundational concepts.

Data Engineering in Fabric: Focus on building and managing data pipelines.

Real-Time Analytics Implementation: Techniques for processing and analysing real-time data.

Data Warehousing with Fabric: Design principles and optimisation strategies.

Data Science and ML in Fabric: Applying machine learning models and workflows.

Power BI and Fabric Integration: Connecting and utilising BI tools for reporting.

Fabric and Azure Databricks Integration: Combining Fabric with Azure Databricks for enhanced analytics.