Summary

In this chapter, we learned about two different things. First, we learned about how to estimate the end-to-end data solution cost. Second, we understood how BigQuery partitioned and clustered tables play a significant role in the cost. 

These two topics are usually needed by data engineers in different situations. Understanding how to calculate the cost will help in the early stages of GCP implementation. This is usually a particularly important step for an organization to decide the future solution for the whole organization. 

The second topic usually occurs when you're designing BigQuery tables and at a time when you need to evaluate the running BigQuery solution. Even though it's obvious that using partitioned and clustered tables is beneficial, it's not a surprise in a big organization as many tables are not optimized and can be improved. 

Lastly, we performed an experiment using the three different tables. It proved that using the...