Code360 powered by Coding Ninjas X Naukri.com. Code360 powered by Coding Ninjas X Naukri.com
Table of contents
1.
Introduction
2.
Non-relational Databases in Big data
3.
Characteristics of Non Relational databases
4.
FAQs
4.1.
What is big data?
4.2.
What do you mean by non-relational databases?
4.3.
What is the main difference between relational databases and non-relational databases?
5.
Conclusion
Last Updated: Mar 27, 2024
Easy

Non-relational Databases in Big data management

Author Aditi
0 upvote
Master Python: Predicting weather forecasts
Speaker
Ashwin Goyal
Product Manager @

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.

Get the tech career you deserve, faster!
Connect with our expert counsellors to understand how to hack your way to success
User rating 4.7/5
1:1 doubt support
95% placement record
Akash Pal
Senior Software Engineer
326% Hike After Job Bootcamp
Himanshu Gusain
Programmer Analyst
32 LPA After Job Bootcamp
After Job
Bootcamp

Characteristics of Non Relational databases

Non Relational databases used for big data have the following characteristics in common:

  • Scalability: Here, we refer to the ability to write data to multiple data stores at the same time without regard to the apparent limitations of basic infrastructure. Another critical dimension is seamlessness. The database must be able to grow and contract by responding to the flow of data and doing so anonymously to end-users.
     
  • Data and Query model: Instead of key structure, row, column, and non-relational databases use particular frameworks to store data with the required set of special query APIs to access data intelligently.
     
  • Persistence design: Persistence is still an essential factor in non-relational databases. Due to their high speed, versatility, and large data capacity, these databases use different data persistence methods. The highest performance option is "in memory," where all the stored data is stored in the fastest memory system of your servers.
     
  • Interface diversity: Although most of these technologies support RESTful APIs as a "mobile" interface, they provide various connectivity options for programmers and database managers, including analytics and visualization tools.
     
  • Eventual Consistency: Although RDBMS uses ACID (Atomicity, Consistency, Isolation, Stability) as a means of ensuring data consistency, the non-relational DBMS uses BASE. BASE stands for Basically Available, Soft state, and Eventual Consistency. In this case, consistency is essential because it is responsible for resolving conflicts when data flow between nodes in distributed applications. The software maintains the data status, and the access model depends on the essential availability. 
    Also Read - Cardinality In DBMS

FAQs

What is big data?

Big data refers to the data that is significant, more complex data sets.
 

What do you mean by non-relational databases?

A non-relational database is a database that does not use the tabular schema found in most traditional database systems consisting of rows and columns.
 

What is the main difference between relational databases and non-relational databases?

Relational databases store structured data to identify the primary key, while NoSQL is used to store unstructured data.

 

Conclusion

In this article, we have extensively discussed non-relational databases in big data management and the characteristics of non-relational databases.

We hope this blog has helped you enhance your knowledge regarding the non-relational databases in big data management. Some official documentation on big data that can help you improve your understanding is Oracle Big DataBig Data SQLSQL Guide For Big DataBig DataApache Hadoop IBM, and Apache Hadoop.

If you would like to learn more, check out our articles on big dataHadoopMongoDBDatabases for development, and SQL vs. NoSQL. Practice makes a man perfect. To practice and improve yourself in the interview, you can check out Top 100 SQL problemsInterview experienceCoding interview questions, and the Ultimate guide path for interviews.

Do upvote our blog to help other ninjas grow. Happy Coding!

Previous article
Role of RDBMS in Big data Management
Next article
What are the 5 Vs of Big Data?
Live masterclass