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The Importance Of Data Engineering
Sam McKay
Listen and learn as Richie Bachala discusses the practical applications of data engineering to real-world operations.He also discusses to Sam McKay the importance of data lakes in business analytics, and how cloud-based tools like Snowflake can help users fully leverageontheir data to power their businesses.
What You’ll Learn From This Episode
Data engineering is needed so that data scientists can do their work.
- RichieBachala’sBI background
- What is data engineering?
- The emergence of self-service in data analytics
- Data lakes explained in simple terms
- What is the big deal about Snowflake?
- Benefits of data cloud
- The time value of data
- Exploring the platform agnostic approach
- Data virtualization in a semantic layer
- The importance of ETL in data engineering
- Data-as-a-service is the future
- Modernizing legacy applications
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.
