Organizations are constantly looking for ways to outperform their rivals on a strategic level. Analyzing the data they have accessible in their database is one technique to achieve this. Internal customer data is the majority of the relevant data, although studying external or rival data may also be advantageous. A set of tools called "business intelligence" is intended to enhance company decision-making with a focus on acquiring a competitive advantage in markets that are fiercely competitive. Organizations restructure or modify the data gathered in their transactional, relational databases and place it into a data warehouse in order to utilise this business intelligence tool set as effectively as possible. Data warehouse simply refers to a specific type of data storage that is simple for business intelligence tools to access. Online analytical processing is the name given to this type of data access (OLAP).

Big data necessitates a novel approach to data archiving. The structured framework required by relational databases does not suit this type of data. Big data is stored and accessed via NoSQL databases. NoSQL was first used as a shorthand for Not Only SQL. In contrast to relational databases, noSQL databases do not have a single database type. The term "NoSQL" refers to four different categories of database structures. These include graph databases, document, key-value, and column-oriented databases. To accommodate the expanding data storage requirements of enterprises, each form of NoSQL database is created to efficiently store a certain sort of data.

Describe the technology's main characteristics and advantages.
Analyze the topic's significance in relation to the information and data demands of the company now and in the future.
Describe how the technology-based database's architecture and structure can be used to achieve the requirements you listed for the organization.
Include at least two more recent sources in addition to the textbook to help support your ideas.
References Please