Data Engineering Myths and Facts

Which of the following is a myth about data engineering programs?

• A) Data engineering is only about building data pipelines.

• B) Data engineers only work with structured data.

• C) Data engineering involves both software engineering and data science skills.

• D) Data engineers require knowledge of databases and data storage technologies.

What is true about the role of a data engineer?

• A) Data engineers focus solely on machine learning model development.

• B) Data engineers primarily work with historical data, not real-time data.

• C) Data engineers ensure the data is accessible and usable for analysis.

• D) Data engineers do not need to understand business contexts or requirements.

Which statement is a myth about the skills needed in data engineering?

• A) Understanding of data integration tools is crucial for data engineers.

• B) Data engineers must be proficient in at least one programming language.

• C) Data engineers do not need to understand cloud computing platforms.

• D) Knowledge of data modeling and ETL processes is important for data engineers.

Which of the following is true about data engineering programs?

• A) They teach only the technical skills needed for data manipulation.

• B) They equip students with skills in data management, processing, and optimization.

• C) They are solely focused on teaching SQL and database management.

• D) They avoid topics on data security and data governance.

Which statement is a myth regarding the outcomes of data engineering programs?

• A) Graduates only qualify for roles in data pipeline development.

• B) Graduates are well-prepared to handle large-scale data infrastructures.

• C) Data engineering graduates only work behind the scenes and never interact with business units.

• D) Graduates understand how to implement data flows that support decision making.