Biddut Sarker Bijoy will discuss his experience utilizing Presto in projects involving billions of data points. Many of the big data projects Biddut Sarker Bijoy worked on have had computational issues, such as the need to shrink datasets or the challenge of making sense of terabytes of data. Nonetheless, Biddut Sarker Bijoy recently worked on a project that required him to clean up a large database. Sometimes we all need to clean up a database. It was not a straightforward one for many reasons. Biddut Sarker Bijoy have found using Presto is the best-fitted one for this problem because of its architectural behavior and how it works with billions of data points within a very short amount of time as well as with a less amount of cost.