Design Scalable Data Warehouses in Microsoft Fabric

Описание: 🔴 Design Scalable Data Warehouses in Microsoft Fabric
📅 February 28 · 5 PM IST – Set Reminder ▶️

Modern analytics requires a data warehouse that is not only performant, but scalable, governed, and seamlessly integrated with BI tools. Microsoft Fabric brings together data engineering, warehousing, lakehouses, governance, and reporting under one unified analytics platform — making it easier than ever for organizations to build enterprise-grade analytical systems.

This session, Design Scalable Data Warehouses in Microsoft Fabric, provides a practical, architecture-focused roadmap for transforming raw data into governed, business-ready insights. Instead of high-level theory, the emphasis is on modeling techniques, performance optimization, ingestion patterns, and real-world best practices used by modern data teams.

Led by Jasleen Kaur, Corporate Trainer, this session equips data professionals with the confidence to architect efficient, secure, and scalable warehouse solutions inside Microsoft Fabric.

🔍 What you’ll learn:

1. Modeling & Building a Fabric Data Warehouse

Understanding Fabric’s integrated analytics architecture.
Creating warehouses designed for enterprise reporting and analytics scenarios.
Building tables, relationships, and models optimized for downstream consumption.
How Fabric unifies data engineering, warehousing, and Power BI into a single workflow.

2. Designing Scalable Schemas & BI-Ready Models

Implementing star and snowflake schemas for real-world data models.
Handling Slowly Changing Dimensions (SCDs) effectively.
Supporting common BI workloads with flexible, scalable design patterns.
Ensuring data quality and consistency across large, evolving datasets.

3. Ingesting Data with Fabric Pipelines & Lakehouse Patterns

Connecting and ingesting data from on-premises, cloud, and SaaS systems.
Using Data Factory / pipelines for scheduled and orchestrated ingestion.
Applying lakehouse design principles to unify structured and unstructured data.
Building ingestion paths that support both batch and near-real-time scenarios.

4. Query Performance Optimization

Choosing the right partitioning strategy for large datasets.
Balancing workload design, caching, indexing, and distribution methods.
Understanding Fabric’s compute capabilities and workload isolation.
Best practices for accelerating query execution and improving user experience.

5. Governance, Security & Access Control

Managing workspace roles, permissions, and shared access.
Applying sensitivity labels, lineage tracking, and data protection policies.
Using Purview-integrated governance capabilities within Fabric.
Ensuring responsible data sharing while maintaining compliance and trust.

6. Aligning Warehouse Design with Power BI

Ensuring semantic models connect efficiently to warehouse tables.
Designing schemas that support fast DAX queries and smooth reporting.
Using Direct Lake and other advanced features for near-instant analytics.
Creating a cohesive pipeline from raw data → warehouse → insights.

7. Real-World Scenarios & Production Deployment

Examples of enterprise data warehouse patterns across industries.
Design decisions that influence scalability, reliability, and governance.
How to evolve from prototype to production-ready warehouse in Fabric.

🎯 Who should attend?
Data engineers, BI developers, and analytics professionals
Azure and Fabric practitioners
Power BI modelers seeking deeper backend understanding
Anyone building or modernizing enterprise data warehouses

Speaker:
Jasleen Kaur
Corporate Trainer | Koenig Solutions Pvt. Ltd.

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🧠 If you want to move from raw data to scalable, governed, production-ready analytics in Microsoft Fabric, this session gives you a framework that actually works at work.

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