What’s Included?
High-Quality Video, E-book & Audiobook
Module Quizzes
AI Mentor
Access for Tablet & Phone
Prerequisites
- Familiarity with basic data concepts and terminology
- Understanding of data storage and processing workflows
- Experience using cloud-based analytics platforms
- Basic knowledge of Microsoft Fabric and Azure services
Skills You’ll Gain
- Lakehouse Architecture Design
- Apache Spark Processing
- Dataflows Gen2 Usage
- Data Ingestion Techniques
- Analytics Workflow Orchestration
- Scalable Data Engineering
- Fabric Platform Integration
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
Delta Lake
Microsoft Fabric
Apache Spark
Dataflows Gen2
What You’ll Learn
Implement Lakehouse Architecture
Use Microsoft Fabric for scalable, unified analytics.
Analyze with Spark & Delta
Run advanced analytics using Spark and Delta Lake.
Transform Data with Dataflows
Ingest and shape data using Gen2 Dataflows.
Orchestrate with Medallion Design
Apply medallion layers for structured, reliable insights.
Course Modules
Lesson 1: 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
Frequently Asked Questions
It’s a unified architecture combining data lake flexibility with data warehouse analytics capabilities.
Basic data knowledge is sufficient; Spark and transformation tasks are guided.
Microsoft Fabric, Apache Spark, Delta Lake, and Dataflows Gen2.
Yes, it includes practical labs and guided modules for real-world scenarios.
Data engineers, analysts, and scientists working with cloud-based analytics platforms.