Summary

Congratulations on your excellent progress in this chapter. First, we learned the difference between data fusion and data integration before becoming familiar with six common data integration challenges. Then, through three comprehensive examples, we used the programming and analytic tools that we've picked up throughout this book to face these data integration challenges and preprocess the data sources so that we were able to meet the analytic goals.

In the next chapter, we will focus on another data preprocessing concept that is crucial, especially for algorithmic data analytics due to the limitations of computational resources: data reduction.

Before you start your journey on data reduction, take some time and try out the following exercises to solidify your learning.