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Aspiring Data Engineers

Data Warehousing Basics

8 weeks
0 Learners
Jul 23

This intensive curriculum provides a comprehensive deep dive into Data Warehousing. You will master the foundational mechanics, underlying system architecture, and core paradigms required to excel in modern engineering environments. By the end of this journey, you will possess the practical intuition and technical rigor to design and implement highly scalable solutions.

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About this Course

Understand OLAP vs OLTP, schemas, and ETL before building pipelines in dbt or Snowflake. This Aspiring Data Engineers curriculum is designed to give you hands-on experience and deep conceptual understanding. Across 8 intensive modules, you'll tackle real-world challenges and build practical projects that reinforce your learning. By the end of this journey, you'll have the skills and proof of work to demonstrate your expertise.

What you'll learn

Master the underlying architecture and practical applications of Data Warehouse Architecture.
Master the underlying architecture and practical applications of Dimensional Modeling Fundamentals.
Master the underlying architecture and practical applications of Advanced Dimensional Modeling.
Master the underlying architecture and practical applications of ETL Processes.

Prerequisites

beginner Level

Accessible to beginners with basic computer literacy.

  • No prior experience required

Ideal for

Aspiring Data Engineers

Data Engineers
W1

Data Warehouse Architecture

Gain a deep understanding of Data Warehouse Architecture by comprehensively studying data warehousing: oltp vs olap systems and data warehousing: enterprise data warehouse (edw) vs data mart.

2 videos19m
2 topics
1 homework
Learn

Topics

1.1
Data Warehousing: OLTP vs OLAP Systems
8 minutes
1.2
Data Warehousing: Enterprise Data Warehouse (EDW) vs Data Mart
11 minutes
W2

Dimensional Modeling Fundamentals

Gain a deep understanding of Dimensional Modeling Fundamentals by comprehensively studying data warehousing: fact tables and measures and data warehousing: star and snowflake schemas.

2 videos17m
2 topics
1 homework
Learn
W3

Advanced Dimensional Modeling

Master the practical implementation of Advanced Dimensional Modeling by comprehensively studying data warehousing: slowly changing dimensions (scd) and data warehousing: bridge tables and multi-valued dimensions.

2 videos21m
2 topics
1 homework
Learn
W4

ETL Processes

Construct reliable, production-ready workflows for ETL Processes by comprehensively studying data warehousing: extract, transform, load (etl) fundamentals and data warehousing: elt vs etl and modern transformations.

2 videos63m
2 topics
1 homework
Learn
W5

Data Loading Strategies

Gain a deep understanding of Data Loading Strategies by comprehensively studying data warehousing: incremental vs full load strategies and data warehousing: change data capture (cdc).

2 videos43m
2 topics
1 homework
Learn
W6

Modern Data Platforms

Construct reliable, production-ready workflows for Modern Data Platforms by comprehensively studying data warehousing: cloud data warehouses (snowflake, bigquery, redshift) and data warehousing: data lakes vs data warehouses.

2 videos60m
2 topics
1 homework
Learn
W7

Performance and Optimization

Master the practical implementation of Performance and Optimization by comprehensively studying data warehousing: partitioning and clustering and data warehousing: materialized views and caching.

2 videos29m
2 topics
1 homework
Learn
W8

Next-Gen Architectures

Dive deep into the internals of Next-Gen Architectures by comprehensively studying data warehousing: the data lakehouse architecture and data warehousing: data mesh and decentralization.

2 videos31m
2 topics
1 homework
Learn
01

Learn

Watch curated videos and read study resources

02

Practice

Practice what you learned

03

Build Projects

Build projects using your new gained knowledge

04

Submit & Verify

Submit your project and get verified by our system

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