5 Challenges In Data Engineering | Data Engineering | Ivy Pro School

This video talks about the top challenges real data engineers face and how to fix them.

Data engineering is the process of creating systems that make it possible to collect and use data. Typically, this data is utilised by Data Analyst and Data Scientist.

5 Common Challenges in Data Engineering as below

1. End User Understanding
2. Regulatory Compliance
3. Human Errors
4. Management of Data
5. System Integration

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