What you’ll learn
After completing this course, students will be able to:
Understand the foundation of data engineering on Fabric through the exploration of the Lakehouse
Explore the powerful capabilities of Apache Spark for distributed data processing
Gain essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables
Explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines
Microsoft Azure at Lumify Work
As part of Lumify Group, Lumify Work has skilled more people in Microsoft technologies than any other organisation in Australia and New Zealand. We have a campus in the Philippines, too. We offer the broadest range of instructor-led training courses, from end user to architect level. We are proud to be the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers in ANZ.
Who is the course for?
The primary audience for this course is data professionals who are familiar with data modelling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies.
Course subjects
Introduction to end-to-end analytics using Microsoft Fabric
Get started with Lakehouses in Microsoft Fabric
Use Apache Spark in Microsoft Fabric
Work with Delta Lake tables in Microsoft Fabric
Ingest Data with Dataflows Gen2 in Microsoft Fabric
Orchestrate processes and data movement with Microsoft Fabric
Organise a Fabric lakehouse using medallion architecture design
Prerequisites
FREE E-BOOK: The New Era of Cloud Computing
We've created this e-book to assist you on your cloud journey, from defining the optimal cloud infrastructure and choosing a cloud platform, to security in the cloud and the core challenges in moving to the cloud.
Terms & Conditions
The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.
