### Q1: What are the three key components of the ETL process?  
### Q2: How does the transformation phase of ETL ensure data quality, and why is this important for business intelligence?  
### Q3: Explain how integrating data from multiple sources through ETL can enhance decision-making in an organization.  
### Q4: How can a low-code approach to ETL tools benefit a small business starting with data analysis?  
### Q5: What challenges might users face when implementing a hands-on coding approach to ETL, and how can they be mitigated?  
### Q6: In what scenarios would a mixed approach to ETL be more beneficial than using a single method?  
### Q7: How can effective communication of ETL processes to stakeholders improve project outcomes?  
### Q8: What strategies can be employed to ensure that team members understand the importance of ETL in data preparation?  
### Q9: How can communication skills enhance collaboration between technical teams and business analysts when designing ETL workflows?