Training Overview
Disclaimer: This course is independently developed and not affiliated with Microsoft. It covers concepts and skills that closely align with the objectives of Microsoft’s DP-601T00: Implement a Lakehouse with Microsoft Fabric training, making it a strong preparatory or complementary learning experience.
Design and Deploy a Lakehouse Architecture Using Microsoft Fabric
This One-Day intermediate-level training empowers data engineers and analysts to build and manage a lakehouse in Microsoft Fabric. Participants gain hands-on experience across the full lifecycle, from creating and managing a lakehouse, ingesting data, and transforming it using Apache Spark and Data Wrangler, to querying and exploring insights with Copilot and Fabric-native tools.
Before enrolling in this custom training, Participants should ideally be familiar with data modeling, data transformation, and exploratory analytics. They should also have a basic understanding of SQL and/or PySpark to confidently get the most out of the hands-on exercises and real-world scenarios covered in this class.
Module Breakdown:
Introduction to End-to-End Analytics Using Microsoft Fabric: Learn how Microsoft Fabric unifies data engineering, integration, and analytics into a single platform. Understand its architecture and how it supports enterprise-scale analytics.
Get Started with Lakehouses in Microsoft Fabric: Explore the concept of lakehouses, which combine the flexibility of data lakes with the performance of data warehouses. Learn how to create and manage lakehouses within Fabric.
Use Apache Spark in Microsoft Fabric: Dive into Apache Spark, a core technology for scalable data processing. Discover how Fabric supports Spark clusters for large-scale analytics within lakehouses.
Work with Delta Lake Tables in Microsoft Fabric: Understand the Delta Lake format used in Fabric lakehouses. Learn how to leverage delta tables for efficient data storage, updates, and advanced analytics.
Ingest Data with Dataflows Gen2 in Microsoft Fabric: Use Dataflows Gen2 to visually design multi-step data ingestion and transformation pipelines using Power Query Online, simplifying the ETL process.
Orchestrate Processes and Data Movement with Microsoft Fabric: Explore orchestration capabilities using Data Factory pipelines. Learn to automate data movement and transformation across various sources and destinations.
Organize a Fabric Lakehouse Using Medallion Architecture Design: Apply the medallion architecture (Bronze, Silver, Gold layers) to structure and optimize your lakehouse for scalable and governed analytics.