Mastering Iceberg In Snowflake With Aws - Complete Hands-On
Published 9/2025
Created by DE Simplified
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 35 Lectures ( 4h 27m ) | Size: 2.13 GB
Step-by-step guide to mastering Iceberg tables in Snowflake with AWS integration, features, and best practices.

What you'll learn
Build and manage Apache Iceberg tables in Snowflake with AWS S3, IAM roles, and Glue catalog integration.
Perform inserts, updates, deletes, time travel, and cloning with Iceberg tables for real-world data workflows.
Monitor and optimize Iceberg performance using Snowflake Account Usage, metadata insights, and storage metrics.
Apply advanced features like streams, dynamic tables, and external catalogs to design enterprise-ready Iceberg solutions.
Requirements
No prior experience with Apache Iceberg is required - everything is explained step by step.
A basic understanding of SQL and data concepts will be helpful but not mandatory.
Access to a Snowflake free trial account is recommended to follow along with the hands-on labs.
An AWS free tier account is needed to practice S3 bucket setup, IAM policies, and Glue catalog integration.
Description
Are you ready to move beyond traditional tables and unlock the true power of Apache Iceberg in Snowflake with AWS?This course is designed for data engineers, architects, and cloud professionals who want to build modern, scalable, and cost-efficient data platforms using Iceberg.Traditional tables often struggle with performance, flexibility, and long-term storage costs. That's where Apache Iceberg comes in-an open table format that enables advanced features like schema evolution, time travel, zero-copy cloning, and seamless integration with cloud storage. But understanding how to implement Iceberg in Snowflake and leverage Iceberg in AWS is where most professionals get stuck.This hands-on course removes the complexity and gives you a step-by-step learning path:Learn the differences between internal, external, and Iceberg tables in Snowflake.Master AWS S3 integration, IAM policies, and Glue catalog for Iceberg in AWS.Create and optimize Iceberg tables in Snowflake with real datasets.Perform inserts, updates, deletes, and time-travel queries.Monitor usage, track metadata, and ensure performance at scale.Explore advanced features like cloning, streams, and dynamic Iceberg tables.By the end of this course, you will not only understand Apache Iceberg concepts, but also know how to implement them in Snowflake with AWS for real-world enterprise use cases.If you're serious about future-proofing your data engineering career, this is the course you can't afford to miss.
Who this course is for
Data engineers looking to implement Iceberg tables for scalable and flexible data pipelines.
Cloud and Snowflake practitioners who want to integrate AWS S3, IAM, and Glue Catalog with Snowflake Iceberg.
Data architects seeking to design cost-efficient, future-proof data platforms with open table formats.
Technical leads and managers who want to understand Iceberg's role in performance optimization, governance, and storage management.
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