Data Warehouse - The Ultimate Guide from Udemy

Master Data Warehousing, Dimensional Modeling & ETL process

Do you want to learn how to implement a data warehouse in a modern way?

This is the only course you need to master architecting and implementing a data warehouse end-to-end.

Data Modeling and data warehousing is one of the most important skills in Business Intelligence & Data Engineering.

This is the most comprehensive & most modern course you can find on data warehousing.

Here is why:

Most comprehenisve course with 9 hours video lectures
Learn from a real expert - crystal clear & straight-forward
Master theory & practice - hands-on demonstrations, assignments & quizzes
We will implement a complete data warehouse - end-to-end
Understand everything step by step from the absolute basics to the advanced topics
Learn the practical steps and the important theory to upskill your career

This course will take you all the way to being able to architect and implement a data warehouse in a company in a professional manner.

Here is what you'll learn:

Data Warehouse Basics
Data Warehouse architecture
Data Warehouse infrastructure
Data Modeling
Setting up an ETL process
Dimensional Modeling: Facts & Dimensions
Implementing a comeplete data warehouse hands-on
Slowly Changing Dimensions
Understanding ETL tools
ELT vs. ETL
Advanced topics like: Columnar storage, OLAP Cubes, In-memory databases, massive parallel processing & cloud data warehouses
Optimizing a data warehouse using indexes (B-tree indexes & Bitmap indexes)
Practically using and connecting a data warehouse

By the end of this course you will be able to design & build a complete data warehouse from the ground up. You will have the knowledge, the practical skills and the confidence to implement a modern data warehouse professionally.

Everything you need to be a highly proficient data architect, data engineer, data analyst or Business Intelligence expert.

Join now to get instant & lifetime access - of course backed by the no-questions-asked 30 days money back guarantee.

What's inside

Learning objectives

Architect & implement a professional data warehouse end-to-end
You will learn the principles of data warehouse design
You will master etl process in both theory & practise

You will implement in a case study your own data warehouse & etl process
You will learn the modern architecture of a data warehouse
Dimensional modeling in a professional way

Architect & implement a professional data warehouse end-to-end
You will learn the principles of data warehouse design
You will master etl process in both theory & practise
You will implement in a case study your own data warehouse & etl process
You will learn the modern architecture of a data warehouse
Dimensional modeling in a professional way

Syllabus

Intro

Welcome!

How this course works

What do you learn in this course?

Here are all the course slides available to download if you want to keep them as your own notes.

Data Warehouse Basics

Why a data warehouse?

What is a data warehouse?

The purpose of a data warehouse

What is Business Intelligence?

Data Lake or Data Warehouse?

Data Lake & Business Intelligence

Setting up Pentaho (ETL tool)

Demos & Hands-on

Pentaho for Mac M1/M2: Installation & Troubleshooting

Setting up PostgreSQL (Database system)

Data Warehouse Architecture

3 Layers of a Data Warehouse

Staging area

Demo: Setting up the staging area

Data Marts

Staging area & Data Marts

Relational databases

In-Memory databases

Cubes

Different database systems

Operational Data Storage

Summary

Dimensional Modeling

What is dimensional modeling?

Why dimensional modeling?

Facts

Dimensions

Star schema

Snowflake schema

Demo: Product & Category dimension (snowflaked)

Facts & Dimensions (ProjectLogs)

Facts & Dimensions (SalesTransactions)

Dimensional modeling

Additivity

Nulls in facts

Year-to-Date facts

Facts I

Types of fact tables

Transactional fact tables

Periodic fact tables

Accumulating snapshots

Comparing fact table types

Identifying fact tables

Factless fact tables

Steps in designing fact tables

Surrogate Keys

Case Study: The Project

Case Study: Identify the business process

Case Study: Define the grain

Case Study: Identify the facts

Case Study: Identify the dimensions

Dimension tables

Date dimensions

Nulls in dimensions

Hierarchies in dimensions

Conformed dimensions

Degenerate dimensions

Junk dimension

Role-playing dimension

Case Study: Date dimension

Understanding dimensions

Slowly Changing Dimensions

What are slowly changing dimensions?

Type 0 - Original

Type 1 - Overwrite

Type 2 - Additional row

Administrating Type 2 dimensions

Mixing Type 1 & Type 2

Type 3 - Additional attribute

Understanding Slowly Changing Dimensions

ETL process

Understanding the ETL process

Extract

Initial Load

Delta Load

Load Workflow

Demo: Quick Intro to Pentaho

Demo: Setting up tables in SQL

Demo: Initial Load example

Demo: Delta Load example

Transforming data

Basic Transformations

Advanced Transformations

Demo: Planning next steps

Demo: Table setup & Complete Staging

Demo: Transform

Demo: Load & Validate results

Scheduling jobs

ETL tools

Choosing the right ETL tool

Case Study: Creating a Data Warehouse

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Adapts industry-standard materials and methods for teaching data warehousing

Provides a practical side to learning about data warehousing

Offers hands-on experience by taking learners through a complete data warehouse implementation

Emphasizes the functional purpose of dimensional modeling

Covers the current and future technologies found in data warehousing

This course may not be the best fit for complete beginners who have no prior experience in data warehousing concepts or data analytics

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Warehouse - The Ultimate Guide with these activities:

Organize Course Materials

Show steps

Stay organized and enhance your learning by compiling and reviewing notes, assignments, quizzes, and exams from the course.

Show steps

Create a system for organizing your materials
Regularly review and update your materials

Follow Tutorials on Data Warehousing

Show steps

Supplement your learning by following tutorials and online courses on data warehousing, covering topics such as data modeling, ETL processes, and data warehouse architecture.

Browse courses on Data Warehouse

Show steps

Find reputable tutorials and online courses on data warehousing
Follow the tutorials and complete the exercises
Apply what you learn to your own projects

Solve Dimensional Modeling Problems

Show steps

Reinforce your understanding of dimensional modeling by solving practice problems and exercises, such as identifying facts and dimensions, designing star and snowflake schemas, and handling slowly changing dimensions.

Browse courses on Dimensional Modeling

Show steps

Find practice problems and exercises online
Work through the problems and exercises
Check your answers and learn from your mistakes

Two other activities

Expand to see all activities and additional details

Show all five activities

Join a Data Warehousing Study Group

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Enhance your understanding by joining a study group with other students taking this course, discussing concepts, solving problems, and sharing knowledge.

Show steps

Find or create a study group
Meet regularly to discuss course materials
Collaborate on projects and assignments

Design and Implement a Data Warehouse

Show steps

Apply the concepts learned in the course by designing and implementing a data warehouse using a tool like Pentaho or Informatica.

Browse courses on Data Warehouse Design

Show steps

Choose a project scope
Identify data sources
Design the data warehouse schema
Extract, transform, and load data
Test and deploy the data warehouse

Career center

Learners who complete Data Warehouse - The Ultimate Guide will develop knowledge and skills that may be useful to these careers:

Data Warehouse Manager

Data Warehouse Managers oversee the planning, implementation, and management of data warehouses. This comprehensive course provides a holistic understanding of data warehouse design, architecture, and administration. By mastering the concepts and techniques taught in this course, individuals can develop the skills and knowledge necessary to excel as Data Warehouse Managers.

See salaries and explore the career path for Data Warehouse Manager

Data Analyst

Data Analysts play a crucial role in extracting insights from data, helping businesses make informed decisions. This course provides a comprehensive understanding of data warehousing, data modeling, and ETL processes, equipping individuals with the skills needed to succeed as a Data Analyst. The hands-on implementation of a complete data warehouse will provide valuable practical experience.

See salaries and explore the career path for Data Analyst

Data Engineer

Data Engineers are responsible for building and maintaining the infrastructure and processes that support data analysis. This course offers a comprehensive overview of data warehouse architecture, ETL tools, and optimization techniques. By gaining proficiency in these areas, individuals can enhance their capabilities as Data Engineers and contribute effectively to data-driven organizations.

See salaries and explore the career path for Data Engineer

Business Intelligence Analyst

Business Intelligence Analysts bridge the gap between data and business decision-making. This course provides a solid foundation in data warehousing, dimensional modeling, and ETL processes, enabling individuals to effectively gather, analyze, and present data to support informed business decisions. The understanding of modern data warehouse architecture and advanced topics will give them a competitive edge in this field.

See salaries and explore the career path for Business Intelligence Analyst

ETL Developer

ETL Developers are responsible for designing and implementing the processes that extract, transform, and load data into data warehouses. This course offers a deep dive into ETL processes, tools, and best practices. By gaining proficiency in these areas, individuals can enhance their skills as ETL Developers and contribute to the efficient and effective management of data in organizations.

See salaries and explore the career path for ETL Developer

Database Architect

Database Architects are responsible for designing and implementing database systems, providing the blueprint for how data is stored and managed. This course aligns well with the role of a Database Architect, offering a deep dive into data modeling, dimensional modeling, and ETL processes. By understanding the principles and practices taught in this course, individuals can build a strong foundation for a successful career in database architecture.

See salaries and explore the career path for Database Architect

Data Governance Analyst

Data Governance Analysts develop and implement policies and procedures to ensure the quality, integrity, and security of data. This course provides a solid foundation in data warehousing, data modeling, and ETL processes. By understanding these concepts and techniques, individuals can enhance their skills as Data Governance Analysts and contribute effectively to the governance of data in organizations.

See salaries and explore the career path for Data Governance Analyst

Information Architect

Information Architects design and manage the organization and structure of information within an organization. This course provides a comprehensive overview of data modeling, dimensional modeling, and ETL processes. By gaining proficiency in these areas, individuals can enhance their skills as Information Architects and contribute effectively to the management of data and information resources.

See salaries and explore the career path for Information Architect

Data Management Consultant

Data Management Consultants advise organizations on how to manage and leverage data effectively. This course provides a comprehensive overview of data warehousing, data modeling, and ETL processes. By gaining proficiency in these areas, individuals can enhance their skills as Data Management Consultants and provide valuable guidance to organizations seeking to optimize their data management practices.

See salaries and explore the career path for Data Management Consultant

Data Scientist

Data Scientists leverage data to solve complex problems and drive innovation. While this course does not directly focus on data science techniques, it provides a strong foundation in data management and data modeling. Understanding the principles and practices taught in this course can complement the skills of a Data Scientist, enabling them to work more effectively with data and extract valuable insights.

See salaries and explore the career path for Data Scientist

Data Architect

Data Architects design and oversee the overall data management strategy of an organization. While this course does not cover all aspects of data architecture, it provides a solid foundation in data modeling, data warehousing, and ETL processes. Understanding these concepts and techniques can complement the skills of a Data Architect, enabling them to make informed decisions about data management and drive data-driven initiatives.

See salaries and explore the career path for Data Architect

Database Administrator

Database Administrators manage and maintain database systems, ensuring data integrity and availability. This course provides a comprehensive overview of data warehouse architecture, optimization techniques, and ETL processes. By gaining proficiency in these areas, individuals can enhance their skills as Database Administrators and contribute effectively to the management of data warehouses.

See salaries and explore the career path for Database Administrator

Project Manager

Project Managers plan, execute, and deliver projects successfully. While this course does not focus on project management principles, it provides a solid foundation in data management and data modeling. Understanding these concepts and techniques can complement the skills of a Project Manager, enabling them to effectively manage projects related to data warehouse implementation and data management initiatives.

See salaries and explore the career path for Project Manager

Software Engineer

Software Engineers design, develop, and maintain software systems. While this course does not focus on software engineering principles, it provides a solid foundation in data management and data modeling. Understanding these concepts and techniques can complement the skills of a Software Engineer, enabling them to build more robust and data-driven software solutions.

See salaries and explore the career path for Software Engineer

Business Analyst

Business Analysts analyze business processes and identify opportunities for improvement. While this course does not directly focus on business analysis techniques, it provides a solid foundation in data management and data modeling. Understanding these concepts and techniques can complement the skills of a Business Analyst, enabling them to make more informed decisions and drive data-driven initiatives.

See salaries and explore the career path for Business Analyst