;%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)
Challenges In The Data Engineering Space
Sam McKay
GertHaegdorenstalksaboutbeing an engineer in the analytics space.He says that the recipetosuccess is choosinga good data lake strategy,havinga data catalog,andusing theright ETL tools.Gert also talks about how Power BI can improve anorganization'sdataculturebecauseit’s easy tomake the switch from Excel to Microsoft’s own analytics tool.
What You’ll Learn From This Episode
- Gert’s background in business intelligence
- Being an engineer in the analytics space
- Tools that help Gert’s data engineering work
- Challengesin data engineering
- How to get the most out of new data pipelines
- The role ofPower BIingeospatialanalytics
- How to improve data literacy in general
- Tech tools to use in datalakes
About The Show
The Analytic Mind is your guide to navigating the evolving frontier of data, AI, & intelligent business.
Hosted by Sam McKay, CEO of EnterpriseDNA, this show dives into real-world use cases, technical strategies, and the mental models behind smart decision-making.
Each episode challenges you to move beyond tools to think critically, act strategically, and build with impact.
Whether you're refining your analytics skills or shaping your organization's data vision, this is where insight meets execution.
Stay sharp. Stay ahead. Think like an analytic mind.
