In the previous chapter, we covered case studies on how AI has been controversial, along with various industry-standard use cases and hands-on information about the tools and frameworks related to storage. In a continuation of earlier discussions, we will be diving into detailed discussions on the kinds of databases that are available, along with their evolution, internal structures, and best possible use cases and examples.
Understanding database management is quite important as it gives you a clear idea about how data flows, that is, the transaction of data between the application and the database. For businesses and organizations, multiple types of data can be handled quite effectively using the knowledge of database management. Nevertheless, there are several challenges associated with data storage, such as infrastructure, cost, compatibility, and security.
In practical scenarios, databases enable us to accelerate our predictive analytics power by deploying...