What’s Included?
High-Quality Video, E-book & Audiobook
Module Quizzes
AI Mentor
Access for Tablet & Phone
Prerequisites
- Experience with ETL processes and data integration
- Familiarity with SQL, PySpark, or Kusto Query Language
- Understanding of data architecture and analytics workflows
- Basic knowledge of cloud-based data platforms
Skills You’ll Gain
- Data Ingestion Workflow
- Transformation Techniques Setup
- Lakehouse Implementation Strategy
- Warehouse Architecture Design
- Real-Time Analytics Orchestration
- Environment Security Monitoring
- Fabric Governance Controls
- Data Architecture Planning
Self Study Materials Included
Videos
Engaging visual content to enhance understanding and learning experience.
Podcasts
Insightful audio sessions featuring expert discussions and real-world cases.
Audiobooks
Listen and learn anytime with convenient audio-based knowledge sharing.
E-Books
Comprehensive digital guides offering in-depth knowledge and learning support.
Module Wise Quizzes
Interactive assessments to reinforce learning and test conceptual clarity.
Additional Resources
Supplementary references and list of tools to deepen knowledge and practical application.
Tools You’ll Master
Microsoft Fabric
Data Factory in Fabric
Lakehouse and Warehouse tools
Real-Time Analytics (Eventstream)
OneLake and Notebooks
What You’ll Learn
Ingest Structured & Unstructured Data
Bring diverse data into Fabric for unified analytics.
Implement Lakehouse Architecture
Design scalable lakehouses for modern data workloads.
Build Real-Time Pipelines
Use Eventstream for streaming and real-time intelligence.
Secure & Monitor Fabric
Govern environments and optimize analytics performance.
Course Modules
Lesson 1: Ingest data with Microsoft Fabric
Module 1: Ingest Data with Dataflows Gen2 in Microsoft Fabric
Module 2: Orchestrate processes and data movement with Microsoft Fabric
Module 3: Use Apache Spark in Microsoft Fabric
Module 4: Work with real-time data in a Microsoft Fabric eventhouse
Lesson 2: Implement a Lakehouse with Microsoft Fabric
Module 1: Introduction to end-to-end analytics using Microsoft Fabric
Module 2: Get started with lakehouses in Microsoft Fabric
Module 3: Use Apache Spark in Microsoft Fabric
Module 4: Work with Delta Lake tables in Microsoft Fabric
Module 5: Ingest Data with Dataflows Gen2 in Microsoft Fabric
Module 6: Orchestrate processes and data movement with Microsoft Fabric
Module 7: Organize a Fabric lakehouse using medallion architecture design
Lesson 3: Implement Real-Time Intelligence with Microsoft Fabric
Module 1: Get started with Real-Time Intelligence in Microsoft Fabric
Module 2: Use real-time eventstreams in Microsoft Fabric
Module 3: Work with real-time data in a Microsoft Fabric eventhouse
Module 4: Create Real-Time Dashboards with Microsoft Fabric
Lesson 4: Implement a data warehouse with Microsoft Fabric
Module 1: Introduction to End-to-End Analytics Using Microsoft Fabric
Module 2: Get Started with Data Warehouses in Microsoft Fabric
Module 3: Load Data into a Microsoft Fabric Data Warehouse
Module 4: Query a Data Warehouse in Microsoft Fabric
Module 5: Monitor a Microsoft Fabric Data Warehouse
Module 6: Secure a Microsoft Fabric Data Warehouse
Lesson 5: Manage a Microsoft Fabric environment
Module 1: Implement Continuous Integration and Continuous Delivery (CI/CD) in Microsoft Fabric
Module 2: Monitor activities in Microsoft Fabric
Module 3: Secure data access in Microsoft Fabric
Module 4: Administer a Microsoft Fabric environment
Frequently Asked Questions
No, it’s designed for professionals with prior data engineering experience.
You should be familiar with SQL, PySpark, or KQL.
Yes, it prepares you for the Microsoft Fabric Data Engineer Associate certification.
Yes, it’s available as instructor-led or self-paced training.
You’ll build lakehouses, warehouses, and real-time pipelines using Microsoft Fabric.
