We have thus far discussed various topics regarding both data mining and machine learning. Most of the examples shown were designed so that anyone with a standard computer would be able to run them and complete the exercises. In real-world situations, datasets would be much larger than those encountered in general home use.
Traditionally, we have relied on well-known database technologies such as SQL Server, Oracle, and others for organizational data warehouse and data management. The advent of NoSQL and Hadoop-based solutions made a significant change to this model of operation. Although companies were at first reluctant, the popular appeal of these tools became too large to ignore, and today, most, if not all, large organizations leverage one or more non-traditional contemporary solution for their enterprise data requirements.
Furthermore, the advent of cloud computing has transformed most businesses, and in-house data centers are being rapidly replaced...
