Data Engineering — the Cousin of Data Science, is Troublesome

Description

Summary

• A Data Scientist must be a jack of many, many trades.
• When a traditional company considers exploiting their data, the most efficient and first-step action should be improving the data engineering process.
• Usually, we cannot expect a “full-stack” analyst, but it is necessary that we have someone who can communicate with both engineering people and management people.
• Although a clear allocation of work is important for high efficiency, a guru of every data tool is indeed attractive.