;%20}%20%3c/style%3e%3clinearGradient%20id='linear-gradient'%20x1='2.99'%20y1='29.35'%20x2='127.75'%20y2='101.39'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20offset='0'%20stop-color='%23f2b347'%20/%3e%3cstop%20offset='.5'%20stop-color='%23ca5a8b'%20/%3e%3cstop%20offset='1'%20stop-color='%236654f5'%20/%3e%3c/linearGradient%3e%3c/defs%3e%3cg%20id='Layer_1-2'%20data-name='Layer%201'%3e%3cpath%20class='cls-1'%20d='M83.56,0H47.18C21.12,0,0,21.12,0,47.18v36.38c0,26.06,21.12,47.18,47.18,47.18h36.38c26.06,0,47.18-21.12,47.18-47.18V47.18C130.74,21.12,109.62,0,83.56,0ZM20.62,48.64c2.84-2.84,6.59-4.23,10.32-4.17,3.82,.07,7.55-1.1,10.25-3.8l.56-.56c2.7-2.7,3.86-6.43,3.8-10.25-.07-3.73,1.32-7.47,4.17-10.32,6.18-6.18,16.66-5.48,21.88,2.11,3.18,4.62,3.27,10.96,.19,15.64-3.02,4.6-7.92,6.78-12.72,6.54-3.51-.17-6.95,.99-9.43,3.48l-1.24,1.24c-2.48,2.48-3.65,5.92-3.48,9.43,.24,4.8-1.94,9.7-6.54,12.72-4.68,3.08-11.03,2.99-15.64-.19-7.6-5.23-8.29-15.7-2.11-21.88Zm33.7,34.25c-2.7,2.7-3.86,6.43-3.8,10.25,.07,3.73-1.32,7.47-4.17,10.32-6.18,6.18-16.66,5.48-21.88-2.11-3.18-4.62-3.27-10.96-.19-15.64,3.02-4.6,7.92-6.78,12.72-6.54,3.51,.17,6.94-.99,9.43-3.48l1.24-1.24c2.48-2.48,3.65-5.92,3.48-9.43-.24-4.8,1.94-9.7,6.54-12.72,4.68-3.08,11.03-2.99,15.64,.19,7.6,5.23,8.3,15.7,2.11,21.88-2.84,2.84-6.59,4.23-10.32,4.17-3.82-.07-7.55,1.1-10.25,3.8l-.56,.56Zm55.8-2.93c-2.96,2.96-6.91,4.35-10.79,4.15-3.51-.17-6.96,.99-9.44,3.48l-1.23,1.23c-2.49,2.49-3.65,5.93-3.48,9.44,.19,3.88-1.19,7.82-4.15,10.79-6.18,6.18-16.66,5.48-21.88-2.11-3.18-4.62-3.27-10.96-.19-15.64,3.02-4.6,7.92-6.78,12.72-6.54,3.51,.17,6.95-.99,9.43-3.48l1.24-1.24c2.48-2.48,3.65-5.92,3.48-9.43-.24-4.8,1.94-9.69,6.54-12.72,4.68-3.08,11.03-2.99,15.64,.19,7.6,5.23,8.3,15.7,2.11,21.88Z'%20/%3e%3c/g%3e%3c/svg%3e)
Cheat sheets
Data Mart vs Data Warehouse
Explore the differences between Data Marts and Data Warehouses. Data Marts provide department-specific data storage for targeted analysis, while Data Warehouses offer centralized, enterprise-wide storage for comprehensive insights. Each serves unique roles, with Data Marts focusing on specific business areas and Data Warehouses integrating broad data for extensive analytics
What our Students Say
Your Author
Sam McKay
CEO & Founder
- Sam is Enterprise DNA's CEO & Founder. He helps individuals and organizations develop data-driven cultures and create enterprise value by delivering business intelligence training and education on Microsoft’s Power BI platform
- He partners with business decision-makers and analysts across all industries and business functions.
Frequently Asked
Questions
What’s the difference between a free account and a paid plan?
Do I need to know anything about data science or data analytics to get started with Enterprise DNA?
How will I be charged?
Can I get an invoice for my company?
Are refunds available?
Will AI take over the world and make data skills worthless?
Get full access to unparalleled
training & skill-building resources
FOR INDIVIDUALS
Enterprise DNA
For Individuals
Empowering the most valuable data analysts to expand their analytical thinking and insight generation possibilities.
Learn MoreFOR BUSINESS
Enterprise DNA
For Business
Training, tools, and guidance to unify and upskill the data analysts in your workplace.
Learn More
Latest Guides
Loading