### Q1: What are the main differences between structured and unstructured data, and why is it important to understand these distinctions in data collection?  
### Q2: How can APIs be effectively utilized for data collection in a B2C context, and what are the advantages of using them over other methods?  
### Q3: What challenges might arise when using web scraping as a data collection method, and how can those challenges be mitigated?  
### Q4: In what scenarios would batch processing be more beneficial than stream processing for data ingestion in a B2C application?  
### Q5: How does data warehousing enhance the analysis of data collected from various sources, and what are the implications for a B2C business?  
### Q6: What key considerations should be taken into account when deciding between batch and stream processing for real-time analytics?  
### Q7: How can effective communication of data insights improve collaboration among team members in a technology-driven environment?  
### Q8: What strategies can be employed to communicate complex data concepts to non-technical stakeholders in a B2C context?  
### Q9: In your experience, how important are communication skills when discussing technical topics with a diverse audience, and why?