Data Lake & Object Storage Architecture

Discipline: Data Engineer | Module: Module 2: Distributed Systems, Storage Engines & Big Data Architecture | Estimated Study Time: 28 Hours

Welcome to Data Lake & Object Storage Architecture. This topic delivers foundational and advanced concepts designed for production engineering and real-world workflows.

Key Learning Objectives

1. Cloud Storage Layers (AWS S3, Azure ADLS Gen2, Google Cloud Storage, MinIO)
2. Modern Lakehouse Storage Layers (Apache Iceberg, Delta Lake, Apache Hudi - ACID on Object Storage)

Detailed Curriculum Breakdown

Cloud Storage Layers (AWS S3, Azure ADLS Gen2, Google Cloud Storage, MinIO)

Explore the fundamental principles, real-world patterns, and best practices for Cloud Storage Layers (AWS S3, Azure ADLS Gen2, Google Cloud Storage, MinIO). Practice hands-on implementations to master these concepts.

// Code Example: Cloud Storage Layers (AWS S3, Azure ADLS Gen2, Google Cloud Storage, MinIO)
// Implement verified patterns for production use
console.log("Mastering Cloud Storage Layers (AWS S3, Azure ADLS Gen2, Google Cloud Storage, MinIO)");

Modern Lakehouse Storage Layers (Apache Iceberg, Delta Lake, Apache Hudi - ACID on Object Storage)

Explore the fundamental principles, real-world patterns, and best practices for Modern Lakehouse Storage Layers (Apache Iceberg, Delta Lake, Apache Hudi - ACID on Object Storage). Practice hands-on implementations to master these concepts.

// Code Example: Modern Lakehouse Storage Layers (Apache Iceberg, Delta Lake, Apache Hudi - ACID on Object Storage)
// Implement verified patterns for production use
console.log("Mastering Modern Lakehouse Storage Layers (Apache Iceberg, Delta Lake, Apache Hudi - ACID on Object Storage)");

Practical Application & Exercises

1. Architecture Review: Evaluate how Data Lake & Object Storage Architecture integrates with upstream and downstream systems.
2. Implementation Challenge: Build a functional prototype demonstrating each of the subtopics.
3. Validation & Testing: Verify performance and error handling under edge-case scenarios.

Summary Checklist

• Studied foundational architecture for Data Lake & Object Storage Architecture
• Completed practical coding challenge
• Validated edge cases and error handling routines