Enterprise Data Warehousing (EDW)

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

Welcome to Enterprise Data Warehousing (EDW). This topic delivers foundational and advanced concepts designed for production engineering and real-world workflows.

Key Learning Objectives

1. MPP Columnar Engines (Snowflake, Google BigQuery, AWS Redshift)
2. Performance Tuning (Clustering Keys, Partitioning, Materialized Views, Micro-partitions)

Detailed Curriculum Breakdown

MPP Columnar Engines (Snowflake, Google BigQuery, AWS Redshift)

Explore the fundamental principles, real-world patterns, and best practices for MPP Columnar Engines (Snowflake, Google BigQuery, AWS Redshift). Practice hands-on implementations to master these concepts.

// Code Example: MPP Columnar Engines (Snowflake, Google BigQuery, AWS Redshift)
// Implement verified patterns for production use
console.log("Mastering MPP Columnar Engines (Snowflake, Google BigQuery, AWS Redshift)");

Performance Tuning (Clustering Keys, Partitioning, Materialized Views, Micro-partitions)

Explore the fundamental principles, real-world patterns, and best practices for Performance Tuning (Clustering Keys, Partitioning, Materialized Views, Micro-partitions). Practice hands-on implementations to master these concepts.

// Code Example: Performance Tuning (Clustering Keys, Partitioning, Materialized Views, Micro-partitions)
// Implement verified patterns for production use
console.log("Mastering Performance Tuning (Clustering Keys, Partitioning, Materialized Views, Micro-partitions)");

Practical Application & Exercises

1. Architecture Review: Evaluate how Enterprise Data Warehousing (EDW) 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 Enterprise Data Warehousing (EDW)
• Completed practical coding challenge
• Validated edge cases and error handling routines