Whether you’re an aspiring data engineer, data architect, business analyst, or data scientist, strong data warehousing skills are a must. With the hands-on experience and competencies, you gain on this course, your resume will catch the eye of employers and power up your career opportunities.
Data Warehouse Fundamentals
Data Warehouse Fundamentals
This course is part of multiple programs.
Taught in English
Some content may not be translated
Instructors: Ramesh Sannareddy
23,717 already enrolled
Included with 
Course
Gain insight into a topic and learn the fundamentals
4.4
(157 reviews)
|
86%
Intermediate level
Recommended experience
15 hours (approximately)
Flexible schedule
Learn at your own pace
What you'll learn
Job-ready data warehousing skills in just 6 weeks, supported by practical experience and an IBM credential.
Design and populate a data warehouse, and model and query data using CUBE, ROLLUP, and materialized views.
Identify popular data analytics and business intelligence tools and vendors and create data visualizations using IBM Cognos Analytics.
How to design and load data into a data warehouse, write aggregation queries, create materialized query tables, and create an analytics dashboard.
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
5 assignments
Course
Gain insight into a topic and learn the fundamentals
4.4
(157 reviews)
|
86%
Intermediate level
Recommended experience
15 hours (approximately)
Flexible schedule
Learn at your own pace
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 3 modules in this course
Welcome to your first module! This module provides an introduction to data warehouse systems, data lakes, and data marts. When you complete this module, you’ll be able to identify and compare data warehouse systems, data marts, and data lakes based on their architecture, and understand how organizations can benefit from each of these three data storage entities. Then, you’ll learn about three types of data warehouse systems and popular data warehouse system vendors. You will learn to help your organization assess new data warehouse system offerings when you know the five essential, critical criteria, including the total cost of ownership, to evaluate before changing to a new data warehouse system.
What's included
8 videos2 readings2 assignments2 plugins
In this knowledge-packed module, you’ll explore general and reference enterprise data warehousing architecture. You’ll discover how data cubes relate to star schemas. Then, you’ll learn how to slice, dice, drill up or down, roll up, and pivot relative to data cubes. Next, you will examine the capabilities of materialized views, their benefits, and how to apply them. You’ll learn how a data organization using facts and dimensions and their related tables organizes information. Then, you will explore how to use normalization to create a snowflake schema as an extension of the star schema. You will also learn about populating a data warehouse, incremental data updates, verifying data, querying data, and interpreting an entity-relationship diagram for a star schema. Finally, the module will delve into the creation of a materialized view, the application of cube and rollup options, and examine the advantages organizations gain from implementing staging.
What's included
8 videos3 readings2 assignments5 app items
In this module, you’ll complete your practice project and final course project, which bring together concepts and practices you previously learned in the first two modules. In the final project, you will design and load data into a data warehouse using facts and dimension tables. Then you’ll write aggregation queries using cube and rollup functions and create a materialized view. In the optional lesson, you will explore the workings of IBM Db2 data warehouse system architecture, view use cases, and understand the key capabilities and integrations available with IBM Db2 Warehouse. The hands-on labs in this lesson will enable you to gain practical knowledge on how to create a Db2 service instance, how to populate a data warehouse using IBM Db2, how to query the data warehouse using IBM Db2.
What's included
1 video5 readings1 assignment1 peer review5 app items5 plugins
Offered by
Recommended if you're interested in Data Management
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
New to Data Management? Start here.
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.