Practical Apache Iceberg: Learn by doing — real data, real queries, real use cases.

What you'll learn

Understand Apache Iceberg Architecture and how Iceberg manages data under the hood with snapshots and metadata.
How Apache Iceberg enables building scalable data lakes with features like schema evolution, hidden partitioning and time travel.
Perform Time Travel and Rollbacks using Iceberg's snapshot-based versioning system — learn how to query historical data, rollback to previous states.
Perform all Iceberg Table Operations via SQL — including creating, inserting, updating data, and querying Iceberg tables directly from Spark SQL.
Compare Iceberg vs Delta vs Hive — Understand where Iceberg stands out and how to make the right choice for your data lakehouse needs.

Requirements

Should know how to write simple SQL queries like SELECT, INSERT, and UPDATE. No advanced SQL knowledge required.
!!! Note : You don't need any prior experience with Apache Iceberg, Delta Lake, or Hive. This course is designed to take you from zero to practical — even if you are new to data lake technologies!

Description

Welcome to "Apache Iceberg: Your End-to-End Practical Course" — the most comprehensive, hands-on course designed to help you master Apache Iceberg and build modern data lakes efficiently and effectively!Apache Iceberg is a revolutionary open table format that is transforming the way organizations manage massive datasets. It is designed to solve the challenges of big data, including schema evolution, hidden partitioning, and time travel, all without the limitations and complexities of traditional systems like Hive and even Delta Lake. Iceberg empowers you to manage petabyte-scale data in a simplified and performant way — making it a critical skill for anyone working in modern data engineering and analytics.In this course, you will start from scratch and learn everything you need to become proficient in Apache Iceberg, whether you are a beginner or an experienced data engineer looking to upskill. Through step-by-step practical demonstrations, you'll learn how to create Iceberg tables, perform schema evolution without rewriting data, leverage hidden partitioning for faster queries, use time travel to access historical data snapshots, and manage data efficiently with features like compaction and snapshot expiration.We focus on real-world use cases, showing you how Iceberg integrates with Spark, SQL, and cloud storage systems like S3 or MinIO. By the end of this course, you will be confident in using Apache Iceberg to build robust, scalable, and future-proof data lakes.If you're ready to master one of the most powerful data lake technologies available — this course is for you!

Who this course is for

Data Engineers and Big Data Developers who want to learn Apache Iceberg from scratch and apply it in real-world data lake projects.
Data Analysts and SQL Developers looking to understand how to manage large datasets efficiently
Students, Beginners, and Career Switchers curious about cutting-edge data lake technologies
Professionals who are currently using Hive, Delta Lake, or traditional data lakes, and want to upgrade their knowledge to Apache Iceberg for hidden partitioning, time travel, and schema evolution without rewrites.
Homepage:

https://www.udemy.com/course/apache-iceberg-end-to-end-data-lakehouse-masterclass/