### Q1: What is data analytics and what purpose does it serve in examining raw data?  
### Q2: How do relational databases differ from non-relational databases in terms of data organization and storage?  
### Q3: Can you explain the concept of predictive analytics and its importance in forecasting future outcomes using historical data?  
### Q4: How can data analytics be leveraged to enhance product quality in software quality assurance?  
### Q5: What are some business strategies that can be optimized using customer feedback data?  
### Q6: In what ways can analyzing sales data improve customer service during peak shopping times?  
### Q7: How can effective communication of data visualization findings impact decision-making processes?  
### Q8: What key terminology in data analytics should SQA professionals be familiar with to communicate findings effectively?  
### Q9: How can understanding data mining contribute to discovering patterns in large data sets?