The Importance Of Data Engineering
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 podcast provides an opportunity to learn from a diverse range of global data leaders. Hosted by Sam McKay, CEO of Enterprise DNA. Covered will be a range of data and analytics topics keeping you up to date with recent trends, organizational challenges, and opportunities for innovation in this exciting space.