Introduction
A database that does not use the tabular schema found in most traditional database systems consists of rows and columns is called a non-relational database. Instead, non-relational databases use a storage model tailored to the specific needs of a stored data type. A NoSQL database provides a way to store and retrieve data modeled in ways other than the tabular relations used in relational databases. It stores data in a non-table format and is often more flexible than traditional, SQL-based, relational database structures.
Big data refers to the data that is significant, large in size, and more complex data sets. It is difficult to handle and is impossible to process using traditional ways and methods. Accessing and storing large amounts of information for analytics purposes from various sources is big data. Big data now can be described by the following 10 V's Volume, Velocity, Variety, Veracity, Value, Validity, Variability, Variability, Venue, Vocabulary, Vagueness.
Non-relational Databases in Big data
Non-Relational databases do not depend on the table/key model available in the RDBMS. Specialty data in the big data world requires notable persistence and data manipulation techniques. While these new database styles offer some answers to your big data challenges, they are not a straightforward ticket to the finish line. One emerging, popular category of non-relational databases is called not only SQL (NoSQL). Initially, the developers viewed archives that did not require a relational model and SQL. As these products were introduced to the market, the definition softened slightly and is now considered "not only SQL," and bows to the ubiquity of the SQL universe. Another category is databases that do not support the relational model but rely on SQL as a pivotal way to manipulate internal data. Although related and unrelated information has the same basics, how the basics are achieved creates a difference.