We talked about:
- Angela's background
- Angela's role at Sam's Club
- The usefulness of knowing ML as a data engineer
- Angela's career path
- Transitioning from data analyst to data engineer/system designer
- Best practices for system design and data engineering
- Working with document databases
- Working with network-based databases
- Detecting fraud with a network-based database
- Selecting the database type to work with
- Neo4j vs Postgres
- The importance of having software engineering knowledge in data engineering
- Data quality check tooling
- The greatest challenges in data engineering
- Debugging and finding the root cause of a failed job
- What kinds of tools Angela uses on a daily basis
- Working with external data sources
- Angela's resource recommendations
Links:
- LinkedIn: https://www.linkedin.com/in/aramirez1305/
- Twitter: https://twitter.com/angelamaria__r
- Github: https://github.com/aramir62
- Previous podcast talk: https://twitter.com/i/spaces/1OwGWwZAZDnGQ?s=20
Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
