What you'll learn:
You will learn how to Delta Lake integrate with Microsoft Fabric Data Engineering
Learning to operate a Delta Lake table by accessing its version history, recovering data, and utilizing time travel functionality
Obtaining practical knowledge in managing Delta Lake tables
Developing a practical comprehension of Delta Lake concepts through hands-on experience

Requirements:
Basic Data Engineering programming using Python

Description:
Welcome!I'm excited about guiding you through the exploration of one of the most powerful data engineering tools in the cloud: Delta Lake.Unlock the full potential of data management and analytics in the Microsoft Fabric environment with our comprehensive course on Delta Lake. Delta Lake, an open-source storage layer that brings ACID transactions to Apache Spark and big data workloads, is seamlessly integrated into Microsoft Fabric to provide a robust and scalable solution for data lakes.This hands-on course is designed for data engineers, data scientists, and IT professionals seeking to harness the power of Delta Lake within the Microsoft Fabric ecosystem. Participants will gain a deep understanding of Delta Lake's architecture, features, and best practices, enabling them to build scalable and reliable data pipelines.The main focus of this course is to teach you how to use the Delta Lake within Microsoft Fabric to accomplish your daily tasks.By the end of this course, you will be equipped with the skills and knowledge needed to architect, implement, and manage Delta Lake within the Microsoft Fabric environment. Whether you're a data engineer looking to build robust pipelines or a data scientist aiming to derive insights from vast datasets, this course provides the essential tools for success in the world of big data analytics.

Who this course is for:
Computer Science or IT Students or other graduates with passion to get into IT
Data Warehouse Developers who want to transit to become a Data Engineering
ETL Developers who want to become a Data Engineering
Database or PL/SQL Developers who want to
BI Developers to learn about Data Engineering
QA Engineers
Application Developers to gain Data Engineering Skills
Data Engineering beginners